id stringlengths 26 28 | text stringlengths 423 4.26k | title stringclasses 1
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gorilla_huggingface_tool_200 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Object Detection", "api_call": "DetrForObjectDetection.from_pretrained('facebook/detr-resnet-50')", "api_arguments": {"pretrained_model_name": "facebook/detr-resnet-50"}, "python_environment_requirements": ["trans... | |
gorilla_huggingface_tool_201 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Object Detection", "api_call": "YolosForObjectDetection.from_pretrained('hustvl/yolos-tiny')", "api_arguments": {"images": "image", "return_tensors": "pt"}, "python_environment_requirements": ["transformers", "PIL... | |
gorilla_huggingface_tool_202 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Object Detection", "api_call": "DetrForObjectDetection.from_pretrained('facebook/detr-resnet-101')", "api_arguments": ["image"], "python_environment_requirements": ["transformers", "torch", "PIL", "requests"], "ex... | |
gorilla_huggingface_tool_203 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "zero-shot-object-detection", "api_call": "OwlViTForObjectDetection.from_pretrained('google/owlvit-base-patch32')", "api_arguments": {"texts": "List of text queries", "images": "Image to be processed"}, "python_env... | |
gorilla_huggingface_tool_204 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Table Extraction", "api_call": "YOLO('keremberke/yolov8m-table-extraction')", "api_arguments": {"image": "URL or local path to the image"}, "python_environment_requirements": ["ultralyticsplus==0.0.23", "ultralyti... | |
gorilla_huggingface_tool_205 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Detect Bordered and Borderless tables in documents", "api_call": "DetrForObjectDetection.from_pretrained('TahaDouaji/detr-doc-table-detection')", "api_arguments": ["images", "return_tensors", "threshold"], "python... | |
gorilla_huggingface_tool_206 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Object Detection", "api_call": "YolosForObjectDetection.from_pretrained('hustvl/yolos-small')", "api_arguments": {"model_name": "hustvl/yolos-small"}, "python_environment_requirements": {"packages": ["transformers... | |
gorilla_huggingface_tool_207 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Object Detection", "api_call": "DetrForObjectDetection.from_pretrained('facebook/detr-resnet-101-dc5')", "api_arguments": {"image": "Image.open(requests.get(url, stream=True).raw)", "return_tensors": "pt"}, "pytho... | |
gorilla_huggingface_tool_208 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Object Detection", "api_call": "DeformableDetrForObjectDetection.from_pretrained('SenseTime/deformable-detr')", "api_arguments": ["images", "return_tensors"], "python_environment_requirements": ["transformers", "t... | |
gorilla_huggingface_tool_209 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Object Detection", "api_call": "YOLO('keremberke/yolov8m-hard-hat-detection')", "api_arguments": {"image": "URL or local path to the image"}, "python_environment_requirements": ["ultralyticsplus==0.0.24", "ultraly... | |
gorilla_huggingface_tool_210 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "License Plate Detection", "api_call": "yolov5.load('keremberke/yolov5m-license-plate')", "api_arguments": {"conf": 0.25, "iou": 0.45, "agnostic": false, "multi_label": false, "max_det": 1000, "img": "https://githu... | |
gorilla_huggingface_tool_211 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Object Detection", "api_call": "YOLO('keremberke/yolov8m-valorant-detection')", "api_arguments": {"conf": 0.25, "iou": 0.45, "agnostic_nms": false, "max_det": 1000}, "python_environment_requirements": "pip install... | |
gorilla_huggingface_tool_212 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Object Detection", "api_call": "YOLO('keremberke/yolov8m-csgo-player-detection')", "api_arguments": {"image": "https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg"}, "python_environment_require... | |
gorilla_huggingface_tool_213 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Table Extraction", "api_call": "YOLO('keremberke/yolov8s-table-extraction')", "api_arguments": {"conf": 0.25, "iou": 0.45, "agnostic_nms": false, "max_det": 1000, "image": "https://github.com/ultralytics/yolov5/ra... | |
gorilla_huggingface_tool_214 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "zero-shot-object-detection", "api_call": "OwlViTForObjectDetection.from_pretrained('google/owlvit-large-patch14')", "api_arguments": {"model_name": "google/owlvit-large-patch14"}, "python_environment_requirements"... | |
gorilla_huggingface_tool_215 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Object Detection", "api_call": "YOLO('keremberke/yolov8m-nlf-head-detection')", "api_arguments": {"conf": 0.25, "iou": 0.45, "agnostic_nms": false, "max_det": 1000, "image": "https://github.com/ultralytics/yolov5/... | |
gorilla_huggingface_tool_216 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Object Detection", "api_call": "YOLO('keremberke/yolov8m-forklift-detection')", "api_arguments": {"image": "URL or local path to the image"}, "python_environment_requirements": ["ultralyticsplus==0.0.23", "ultraly... | |
gorilla_huggingface_tool_217 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "zero-shot-object-detection", "api_call": "OwlViTForObjectDetection.from_pretrained('google/owlvit-base-patch16')", "api_arguments": ["texts", "images"], "python_environment_requirements": ["requests", "PIL", "torc... | |
gorilla_huggingface_tool_218 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Object Detection", "api_call": "YOLO('keremberke/yolov8m-plane-detection')", "api_arguments": {"image": "URL or local path to the image"}, "python_environment_requirements": ["pip install ultralyticsplus==0.0.23 u... | |
gorilla_huggingface_tool_219 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Object Detection", "api_call": "YOLO('keremberke/yolov8s-csgo-player-detection')", "api_arguments": {"image": "https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg"}, "python_environment_require... | |
gorilla_huggingface_tool_220 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Object Detection", "api_call": "YOLO('keremberke/yolov8m-blood-cell-detection')", "api_arguments": {"conf": 0.25, "iou": 0.45, "agnostic_nms": false, "max_det": 1000}, "python_environment_requirements": ["ultralyt... | |
gorilla_huggingface_tool_221 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Object Detection", "api_call": "YOLO('keremberke/yolov8s-hard-hat-detection')", "api_arguments": {"conf": 0.25, "iou": 0.45, "agnostic_nms": false, "max_det": 1000}, "python_environment_requirements": "pip install... | |
gorilla_huggingface_tool_222 | {"domain": "Computer Vision Object Detection", "framework": "Transformers", "functionality": "Object Detection", "api_call": "yolov5.load('fcakyon/yolov5s-v7.0')", "api_arguments": {"conf": 0.25, "iou": 0.45, "agnostic": false, "multi_label": false, "max_det": 1000, "img": "https://github.com/ultralytics/yolov5/raw/mas... | |
gorilla_huggingface_tool_223 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Table Extraction", "api_call": "YOLO('keremberke/yolov8n-table-extraction')", "api_arguments": {"conf": 0.25, "iou": 0.45, "agnostic_nms": false, "max_det": 1000}, "python_environment_requirements": ["ultralyticsp... | |
gorilla_huggingface_tool_224 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "pipeline('image-segmentation')", "api_arguments": {"model": "CIDAS/clipseg-rd64-refined"}, "python_environment_requirements": "transformers", "example_code": "", "performance": {"data... | |
gorilla_huggingface_tool_225 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Object Detection", "api_call": "YOLO('keremberke/yolov8n-csgo-player-detection')", "api_arguments": {"image": "URL or local path to image"}, "python_environment_requirements": "pip install ultralyticsplus==0.0.23 ... | |
gorilla_huggingface_tool_226 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "License Plate Detection", "api_call": "yolov5.load('keremberke/yolov5s-license-plate')", "api_arguments": {"img": "image url or path", "size": "image resize dimensions", "augment": "optional, test time augmentatio... | |
gorilla_huggingface_tool_227 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Image Segmentation", "api_call": "UperNetModel.from_pretrained('openmmlab/upernet-convnext-small')", "api_arguments": "N/A", "python_environment_requirements": "transformers", "example_code": "N/A", "performance... | |
gorilla_huggingface_tool_228 | {"domain": "Computer Vision Object Detection", "framework": "Hugging Face Transformers", "functionality": "Blood Cell Detection", "api_call": "YOLO('keremberke/yolov8n-blood-cell-detection')", "api_arguments": {"conf": 0.25, "iou": 0.45, "agnostic_nms": false, "max_det": 1000}, "python_environment_requirements": "ultra... | |
gorilla_huggingface_tool_229 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Semantic Segmentation", "api_call": "SegformerForSemanticSegmentation.from_pretrained('nvidia/segformer-b0-finetuned-ade-512-512')", "api_arguments": {"images": "Image", "return_tensors": "pt"}, "python_environm... | |
gorilla_huggingface_tool_230 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Image Segmentation", "api_call": "SegformerForSemanticSegmentation.from_pretrained('nvidia/segformer-b5-finetuned-ade-640-640')", "api_arguments": ["images", "return_tensors"], "python_environment_requirements":... | |
gorilla_huggingface_tool_231 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Semantic Segmentation", "api_call": "SegformerForSemanticSegmentation.from_pretrained('nvidia/segformer-b2-finetuned-cityscapes-1024-1024')", "api_arguments": {"images": "image", "return_tensors": "pt"}, "python... | |
gorilla_huggingface_tool_232 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Image Segmentation", "api_call": "SegformerForSemanticSegmentation.from_pretrained('nvidia/segformer-b0-finetuned-cityscapes-1024-1024')", "api_arguments": {"pretrained_model_name_or_path": "nvidia/segformer-b0-... | |
gorilla_huggingface_tool_233 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Image Segmentation", "api_call": "DetrForSegmentation.from_pretrained('facebook/detr-resnet-50-panoptic')", "api_arguments": ["image"], "python_environment_requirements": ["torch", "numpy", "transformers", "PIL"... | |
gorilla_huggingface_tool_234 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "MaskFormerForInstanceSegmentation.from_pretrained('facebook/maskformer-swin-base-coco')", "api_arguments": ["image"], "python_environment_requirements": ["transformers", "PIL", "reque... | |
gorilla_huggingface_tool_235 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Image Segmentation", "api_call": "SegformerForSemanticSegmentation.from_pretrained('mattmdjaga/segformer_b2_clothes')", "api_arguments": ["image"], "python_environment_requirements": ["transformers", "PIL", "req... | |
gorilla_huggingface_tool_236 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "Mask2FormerForUniversalSegmentation.from_pretrained('facebook/mask2former-swin-base-coco-panoptic')", "api_arguments": {"pretrained_model_name_or_path": "facebook/mask2former-swin-bas... | |
gorilla_huggingface_tool_237 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "Mask2FormerForUniversalSegmentation.from_pretrained('facebook/mask2former-swin-large-cityscapes-semantic')", "api_arguments": {"pretrained_model_name_or_path": "facebook/mask2former-s... | |
gorilla_huggingface_tool_238 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "OneFormerForUniversalSegmentation.from_pretrained('shi-labs/oneformer_coco_swin_large')", "api_arguments": {"images": "image", "task_inputs": ["semantic", "instance", "panoptic"], "re... | |
gorilla_huggingface_tool_239 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "MaskFormerForInstanceSegmentation.from_pretrained('facebook/maskformer-swin-large-ade')", "api_arguments": {"from_pretrained": "facebook/maskformer-swin-large-ade"}, "python_environme... | |
gorilla_huggingface_tool_240 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "OneFormerForUniversalSegmentation.from_pretrained('shi-labs/oneformer_ade20k_swin_large')", "api_arguments": ["images", "task_inputs", "return_tensors"], "python_environment_requireme... | |
gorilla_huggingface_tool_241 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "Mask2FormerForUniversalSegmentation.from_pretrained('facebook/mask2former-swin-large-coco-panoptic')", "api_arguments": ["image"], "python_environment_requirements": ["requests", "tor... | |
gorilla_huggingface_tool_242 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "Mask2FormerForUniversalSegmentation.from_pretrained('facebook/mask2former-swin-small-coco-instance')", "api_arguments": {"pretrained_model_name_or_path": "facebook/mask2former-swin-sm... | |
gorilla_huggingface_tool_243 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "OneFormerForUniversalSegmentation.from_pretrained('shi-labs/oneformer_ade20k_swin_tiny')", "api_arguments": {"images": "image", "task_inputs": ["semantic", "instance", "panoptic"], "r... | |
gorilla_huggingface_tool_244 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Image Segmentation", "api_call": "YOLO('keremberke/yolov8m-building-segmentation')", "api_arguments": {"image": "URL or local path to the image"}, "python_environment_requirements": "pip install ultralyticsplus=... | |
gorilla_huggingface_tool_245 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Semantic Segmentation", "api_call": "SegformerForSemanticSegmentation.from_pretrained('nvidia/segformer-b5-finetuned-cityscapes-1024-1024')", "api_arguments": {"images": "image", "return_tensors": "pt"}, "python... | |
gorilla_huggingface_tool_246 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "Mask2FormerForUniversalSegmentation.from_pretrained('facebook/mask2former-swin-tiny-coco-instance')", "api_arguments": {"pretrained_model_name_or_path": "facebook/mask2former-swin-tin... | |
gorilla_huggingface_tool_247 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "MaskFormerForInstanceSegmentation.from_pretrained('facebook/maskformer-swin-base-ade')", "api_arguments": {"from_pretrained": "facebook/maskformer-swin-base-ade"}, "python_environment... | |
gorilla_huggingface_tool_248 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Image Segmentation", "api_call": "YOLO('keremberke/yolov8m-pcb-defect-segmentation')", "api_arguments": {"image": "URL or local path to the image"}, "python_environment_requirements": ["ultralyticsplus==0.0.24",... | |
gorilla_huggingface_tool_249 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "MaskFormerForInstanceSegmentation.from_pretrained('facebook/maskformer-swin-tiny-coco')", "api_arguments": ["image", "return_tensors"], "python_environment_requirements": ["transforme... | |
gorilla_huggingface_tool_250 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Image Segmentation", "api_call": "YOLO('keremberke/yolov8m-pothole-segmentation')", "api_arguments": {"image": "URL or local image path"}, "python_environment_requirements": ["ultralyticsplus==0.0.23", "ultralyt... | |
gorilla_huggingface_tool_251 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Image Segmentation", "api_call": "YOLO('keremberke/yolov8s-building-segmentation')", "api_arguments": ["conf", "iou", "agnostic_nms", "max_det", "image"], "python_environment_requirements": ["ultralyticsplus==0.... | |
gorilla_huggingface_tool_252 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Image Segmentation", "api_call": "YOLO('keremberke/yolov8s-pothole-segmentation')", "api_arguments": {"image": "URL or local path to the image"}, "python_environment_requirements": {"ultralyticsplus": "0.0.23", ... | |
gorilla_huggingface_tool_253 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Image Segmentation", "api_call": "YOLO('keremberke/yolov8n-pothole-segmentation')", "api_arguments": {"image": "https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg", "conf": 0.25, "iou": 0.45... | |
gorilla_huggingface_tool_254 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Image Segmentation", "api_call": "YOLO('keremberke/yolov8n-pcb-defect-segmentation')", "api_arguments": {"image": "URL or local path to image"}, "python_environment_requirements": "ultralyticsplus==0.0.23 ultral... | |
gorilla_huggingface_tool_255 | {"domain": "Computer Vision Image Segmentation", "framework": "Hugging Face Transformers", "functionality": "Image Segmentation", "api_call": "YOLO('keremberke/yolov8s-pcb-defect-segmentation')", "api_arguments": {"image": "URL or local path to image"}, "python_environment_requirements": ["ultralyticsplus==0.0.23", "ul... | |
gorilla_huggingface_tool_256 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face", "functionality": "Image Variations", "api_call": "StableDiffusionImageVariationPipeline.from_pretrained('lambdalabs/sd-image-variations-diffusers', revision='v2.0')", "api_arguments": {"revision": "v2.0"}, "python_environment_requirements": "Diff... | |
gorilla_huggingface_tool_257 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face", "functionality": "Image-to-Image", "api_call": "ControlNetModel.from_pretrained('lllyasviel/sd-controlnet-canny')", "api_arguments": {"torch_dtype": "torch.float16"}, "python_environment_requirements": {"opencv": "pip install opencv-contrib-pytho... | |
gorilla_huggingface_tool_258 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face", "functionality": "Human Pose Estimation", "api_call": "ControlNetModel.from_pretrained('lllyasviel/sd-controlnet-openpose')", "api_arguments": {"text": "chef in the kitchen", "image": "image", "num_inference_steps": 20}, "python_environment_requi... | |
gorilla_huggingface_tool_259 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face", "functionality": "Image-to-Image", "api_call": "ControlNetModel.from_pretrained('lllyasviel/sd-controlnet-hed')", "api_arguments": ["image", "text"], "python_environment_requirements": ["diffusers", "transformers", "accelerate", "controlnet_aux"]... | |
gorilla_huggingface_tool_260 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face", "functionality": "Image Segmentation", "api_call": "ControlNetModel.from_pretrained('lllyasviel/sd-controlnet-seg')", "api_arguments": ["torch_dtype"], "python_environment_requirements": ["diffusers", "transformers", "accelerate"], "example_code"... | |
gorilla_huggingface_tool_261 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face", "functionality": "Depth Estimation", "api_call": "ControlNetModel.from_pretrained('lllyasviel/sd-controlnet-depth')", "api_arguments": {"torch_dtype": "torch.float16"}, "python_environment_requirements": ["diffusers", "transformers", "accelerate"... | |
gorilla_huggingface_tool_262 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image Diffusion Models", "api_call": "ControlNetModel.from_pretrained('lllyasviel/sd-controlnet-scribble')", "api_arguments": ["image", "text"], "python_environment_requirements": ["diffusers", "transformers", "accelerat... | |
gorilla_huggingface_tool_263 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face", "functionality": "Image-to-Image", "api_call": "ControlNetModel.from_pretrained('lllyasviel/control_v11p_sd15_canny')", "api_arguments": {"text": "a blue paradise bird in the jungle", "num_inference_steps": 20, "generator": "torch.manual_seed(33)... | |
gorilla_huggingface_tool_264 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face", "functionality": "ControlNet - M-LSD Straight Line Version", "api_call": "ControlNetModel.from_pretrained('lllyasviel/sd-controlnet-mlsd')", "api_arguments": {"torch_dtype": "torch.float16"}, "python_environment_requirements": {"diffusers": "pip ... | |
gorilla_huggingface_tool_265 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face", "functionality": "ControlNet", "api_call": "ControlNetModel.from_pretrained('lllyasviel/control_v11p_sd15_lineart')", "api_arguments": {"checkpoint": "ControlNet-1-1-preview/control_v11p_sd15_lineart", "torch_dtype": "torch.float16"}, "python_env... | |
gorilla_huggingface_tool_266 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face", "functionality": "Normal Map Estimation", "api_call": "ControlNetModel.from_pretrained('lllyasviel/sd-controlnet-normal')", "api_arguments": ["image", "num_inference_steps"], "python_environment_requirements": ["diffusers", "transformers", "accel... | |
gorilla_huggingface_tool_267 | {"domain": "Computer Vision Image-to-Image", "framework": "Diffusers", "functionality": "Text-to-Image", "api_call": "ControlNetModel.from_pretrained('lllyasviel/control_v11p_sd15_scribble')", "api_arguments": {"checkpoint": "lllyasviel/control_v11p_sd15_scribble", "torch_dtype": "torch.float16"}, "python_environment_r... | |
gorilla_huggingface_tool_268 | {"domain": "Computer Vision Image-to-Image", "framework": "Diffusers", "functionality": "Text-to-Image Diffusion Models", "api_call": "ControlNetModel.from_pretrained('lllyasviel/control_v11p_sd15_openpose')", "api_arguments": {"checkpoint": "lllyasviel/control_v11p_sd15_openpose", "torch_dtype": "torch.float16"}, "pyt... | |
gorilla_huggingface_tool_269 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face Transformers", "functionality": "Image Super-Resolution", "api_call": "Swin2SRForImageSuperResolution.from_pretrained('caidas/swin2sr-classical-sr-x2-64')", "api_arguments": "image, model, feature_extractor", "python_environment_requirements": "tra... | |
gorilla_huggingface_tool_270 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face", "functionality": "Diffusion-based text-to-image generation model", "api_call": "ControlNetModel.from_pretrained('lllyasviel/control_v11e_sd15_ip2p')", "api_arguments": ["checkpoint", "torch_dtype"], "python_environment_requirements": ["diffusers"... | |
gorilla_huggingface_tool_271 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face", "functionality": "Diffusion-based text-to-image generation", "api_call": "ControlNetModel.from_pretrained('lllyasviel/control_v11p_sd15_seg')", "api_arguments": {"checkpoint": "lllyasviel/control_v11p_sd15_seg"}, "python_environment_requirements"... | |
gorilla_huggingface_tool_272 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face", "functionality": "Diffusion-based text-to-image generation", "api_call": "ControlNetModel.from_pretrained('lllyasviel/control_v11p_sd15_softedge')", "api_arguments": {"checkpoint": "lllyasviel/control_v11p_sd15_softedge", "torch_dtype": "torch.fl... | |
gorilla_huggingface_tool_273 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "Swin2SRForConditionalGeneration.from_pretrained('condef/Swin2SR-lightweight-x2-64').", "api_arguments": "feature_extractor, model", "python_environment_requirements": "transformers, torch... | |
gorilla_huggingface_tool_274 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image Diffusion Models", "api_call": "ControlNetModel.from_pretrained('lllyasviel/control_v11p_sd15_mlsd')", "api_arguments": ["checkpoint", "torch_dtype"], "python_environment_requirements": ["diffusers", "transformers"... | |
gorilla_huggingface_tool_275 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face", "functionality": "Diffusion-based text-to-image generation model", "api_call": "ControlNetModel.from_pretrained('lllyasviel/control_v11p_sd15_normalbae')", "api_arguments": ["checkpoint", "torch_dtype"], "python_environment_requirements": ["diffu... | |
gorilla_huggingface_tool_276 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "pipeline('image-super-resolution', model='caidas/swin2SR-classical-sr-x4-64')", "api_arguments": ["input_image"], "python_environment_requirements": ["transformers"], "example_code": "", ... | |
gorilla_huggingface_tool_277 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face", "functionality": "Image-to-Image", "api_call": "pipeline('image-to-image', model='GreeneryScenery/SheepsControlV3')", "api_arguments": {"image": "Path to image file", "text_guidance": "Optional text guidance for the model"}, "python_environment_r... | |
gorilla_huggingface_tool_278 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face", "functionality": "Image-to-Image", "api_call": "pipeline('image-to-image', model='GreeneryScenery/SheepsControlV5')", "api_arguments": {"input_image": "path/to/image/file"}, "python_environment_requirements": {"huggingface_hub": ">=0.0.17", "tran... | |
gorilla_huggingface_tool_279 | {"domain": "Computer Vision Image-to-Image", "framework": "Keras", "functionality": "Image Deblurring", "api_call": "from_pretrained_keras('google/maxim-s3-deblurring-gopro')", "api_arguments": ["image"], "python_environment_requirements": ["huggingface_hub", "PIL", "tensorflow", "numpy", "requests"], "example_code": "... | |
gorilla_huggingface_tool_280 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image Diffusion Models", "api_call": "ControlNetModel.from_pretrained('lllyasviel/control_v11p_sd15s2_lineart_anime')", "api_arguments": {"checkpoint": "lllyasviel/control_v11p_sd15s2_lineart_anime", "torch_dtype": "torc... | |
gorilla_huggingface_tool_281 | {"domain": "Computer Vision Image-to-Image", "framework": "Hugging Face", "functionality": "Image Inpainting", "api_call": "ControlNetModel.from_pretrained('lllyasviel/control_v11p_sd15_inpaint')", "api_arguments": {"checkpoint": "lllyasviel/control_v11p_sd15_inpaint", "torch_dtype": "torch.float16"}, "python_environme... | |
gorilla_huggingface_tool_282 | {"domain": "Computer Vision Unconditional Image Generation", "framework": "Hugging Face Transformers", "functionality": "Image Synthesis", "api_call": "DDPMPipeline.from_pretrained('google/ddpm-cifar10-32').", "api_arguments": "None", "python_environment_requirements": "diffusers", "example_code": "!pip install diffuse... | |
gorilla_huggingface_tool_283 | {"domain": "Computer Vision Unconditional Image Generation", "framework": "Hugging Face Transformers", "functionality": "Diffusers", "api_call": "DDPMPipeline.from_pretrained('ddpm-celebahq-256')", "api_arguments": ["model_id"], "python_environment_requirements": ["diffusers"], "example_code": "!pip install diffusers\n... | |
gorilla_huggingface_tool_284 | {"domain": "Computer Vision Unconditional Image Generation", "framework": "Hugging Face Transformers", "functionality": "Unconditional Image Generation", "api_call": "DDPMPipeline.from_pretrained('google/ddpm-cat-256')", "api_arguments": ["model_id"], "python_environment_requirements": ["diffusers"], "example_code": "!... | |
gorilla_huggingface_tool_285 | {"domain": "Computer Vision Unconditional Image Generation", "framework": "Hugging Face Transformers", "functionality": "Denoising Diffusion Probabilistic Models (DDPM)", "api_call": "DDPMPipeline.from_pretrained('google/ddpm-ema-celebahq-256')", "api_arguments": {"model_id": "google/ddpm-ema-celebahq-256"}, "python_en... | |
gorilla_huggingface_tool_286 | {"domain": "Computer Vision Unconditional Image Generation", "framework": "Hugging Face Transformers", "functionality": "Diffusers", "api_call": "DDPMPipeline.from_pretrained('google/ddpm-ema-church-256')", "api_arguments": ["model_id"], "python_environment_requirements": ["diffusers"], "example_code": "!pip install di... | |
gorilla_huggingface_tool_287 | {"domain": "Computer Vision Unconditional Image Generation", "framework": "Hugging Face Transformers", "functionality": "Unconditional Image Generation", "api_call": "DiffusionPipeline.from_pretrained('CompVis/ldm-celebahq-256')", "api_arguments": ["model_id"], "python_environment_requirements": ["diffusers"], "example... | |
gorilla_huggingface_tool_288 | {"domain": "Computer Vision Unconditional Image Generation", "framework": "Hugging Face Transformers", "functionality": "Unconditional Image Generation", "api_call": "DDPMPipeline.from_pretrained('google/ddpm-church-256')", "api_arguments": ["model_id"], "python_environment_requirements": ["diffusers"], "example_code":... | |
gorilla_huggingface_tool_289 | {"domain": "Computer Vision Unconditional Image Generation", "framework": "Hugging Face Transformers", "functionality": "Unconditional Image Generation", "api_call": "DiffusionPipeline.from_pretrained('google/ncsnpp-celebahq-256')", "api_arguments": {"model_id": "google/ncsnpp-celebahq-256"}, "python_environment_requir... | |
gorilla_huggingface_tool_290 | {"domain": "Computer Vision Unconditional Image Generation", "framework": "Transformers", "functionality": "Unconditional Image Generation", "api_call": "LightweightGAN.from_pretrained('ceyda/butterfly_cropped_uniq1K_512')", "api_arguments": ["pretrained_model_name_or_path"], "python_environment_requirements": ["torch"... | |
gorilla_huggingface_tool_291 | {"domain": "Computer Vision Unconditional Image Generation", "framework": "Hugging Face Transformers", "functionality": "Denoising Diffusion Probabilistic Models (DDPM)", "api_call": "DDPMPipeline.from_pretrained('google/ddpm-bedroom-256')", "api_arguments": "None", "python_environment_requirements": "diffusers", "exam... | |
gorilla_huggingface_tool_292 | {"domain": "Computer Vision Unconditional Image Generation", "framework": "Hugging Face Transformers", "functionality": "Unconditional Image Generation", "api_call": "DiffusionPipeline.from_pretrained('google/ncsnpp-church-256')", "api_arguments": "model_id", "python_environment_requirements": "diffusers", "example_cod... | |
gorilla_huggingface_tool_293 | {"domain": "Computer Vision Unconditional Image Generation", "framework": "Hugging Face Transformers", "functionality": "Unconditional Image Generation", "api_call": "DDPMPipeline.from_pretrained('johnowhitaker/sd-class-wikiart-from-bedrooms')", "api_arguments": "", "python_environment_requirements": "diffusers", "exam... | |
gorilla_huggingface_tool_294 | {"domain": "Computer Vision Unconditional Image Generation", "framework": "Hugging Face Transformers", "functionality": "Unconditional Image Generation", "api_call": "DDPMPipeline.from_pretrained('google/ddpm-cifar10-32')", "api_arguments": "None", "python_environment_requirements": "!pip install diffusers", "example_c... | |
gorilla_huggingface_tool_295 | {"domain": "Computer Vision Unconditional Image Generation", "framework": "Hugging Face Transformers", "functionality": "Denoising Diffusion Probabilistic Models (DDPM)", "api_call": "DDPMPipeline.from_pretrained('google/ddpm-ema-bedroom-256')", "api_arguments": ["model_id"], "python_environment_requirements": ["diffus... | |
gorilla_huggingface_tool_296 | {"domain": "Computer Vision Unconditional Image Generation", "framework": "Hugging Face Transformers", "functionality": "Inference", "api_call": "DiffusionPipeline.from_pretrained('google/ncsnpp-ffhq-1024')", "api_arguments": ["model_id"], "python_environment_requirements": ["diffusers"], "example_code": "!pip install ... | |
gorilla_huggingface_tool_297 | {"domain": "Computer Vision Unconditional Image Generation", "framework": "Hugging Face Transformers", "functionality": "Unconditional Image Generation", "api_call": "DDPMPipeline.from_pretrained('ocariz/universe_1400')", "api_arguments": "", "python_environment_requirements": "diffusers", "example_code": "from diffuse... | |
gorilla_huggingface_tool_298 | {"domain": "Computer Vision Unconditional Image Generation", "framework": "Hugging Face Transformers", "functionality": "Diffusers", "api_call": "DDPMPipeline.from_pretrained('WiNE-iNEFF/Minecraft-Skin-Diffusion-V2')", "api_arguments": [], "python_environment_requirements": ["diffusers"], "example_code": "from diffuser... | |
gorilla_huggingface_tool_299 | {"domain": "Computer Vision Unconditional Image Generation", "framework": "Hugging Face Transformers", "functionality": "Diffusers", "api_call": "DDPMPipeline.from_pretrained('WiNE-iNEFF/Minecraft-Skin-Diffusion')", "api_arguments": {}, "python_environment_requirements": ["diffusers"], "example_code": "from diffusers i... |
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