id stringlengths 26 28 | text stringlengths 423 4.26k | title stringclasses 1
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gorilla_huggingface_tool_0 | {"domain": "Natural Language Processing Feature Extraction", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "AutoModel.from_pretrained('YituTech/conv-bert-base')", "api_arguments": "N/A", "python_environment_requirements": "transformers", "example_code": "N/A", "performance... | |
gorilla_huggingface_tool_1 | {"domain": "Natural Language Processing Feature Extraction", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "AutoModel.from_pretrained('dmis-lab/biobert-v1.1')", "api_arguments": [], "python_environment_requirements": ["transformers"], "example_code": "", "performance": {"d... | |
gorilla_huggingface_tool_2 | {"domain": "Natural Language Processing Sentence Similarity", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "AutoModel.from_pretrained('princeton-nlp/unsup-simcse-roberta-base')", "api_arguments": null, "python_environment_requirements": ["transformers"], "example_code": n... | |
gorilla_huggingface_tool_3 | {"domain": "Multimodal Feature Extraction", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "AutoModel.from_pretrained('cambridgeltl/SapBERT-from-PubMedBERT-fulltext')", "api_arguments": "input_ids, attention_mask", "python_environment_requirements": "transformers", "example... | |
gorilla_huggingface_tool_4 | {"domain": "Natural Language Processing Text Generation", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "BartModel.from_pretrained('facebook/bart-base')", "api_arguments": ["inputs"], "python_environment_requirements": ["transformers"], "example_code": "from transformers i... | |
gorilla_huggingface_tool_5 | {"domain": "Natural Language Processing Text Generation", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "BartModel.from_pretrained('facebook/bart-large')", "api_arguments": {"pretrained_model_name": "facebook/bart-large"}, "python_environment_requirements": {"library": "tr... | |
gorilla_huggingface_tool_6 | {"domain": "Computer Vision Image Classification", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "ViTModel.from_pretrained('facebook/dino-vits8')", "api_arguments": ["images", "return_tensors"], "python_environment_requirements": ["transformers", "PIL", "requests"], "examp... | |
gorilla_huggingface_tool_7 | {"domain": "Computer Vision Image Classification", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "ViTModel.from_pretrained('facebook/dino-vitb16')", "api_arguments": {"pretrained_model_name_or_path": "facebook/dino-vitb16"}, "python_environment_requirements": {"transformer... | |
gorilla_huggingface_tool_8 | {"domain": "Natural Language Processing Feature Extraction", "framework": "PyTorch Transformers", "functionality": "Feature Extraction", "api_call": "BartModel.from_pretrained('gogamza/kobart-base-v2')", "api_arguments": {"tokenizer": "PreTrainedTokenizerFast.from_pretrained('gogamza/kobart-base-v2')"}, "python_environ... | |
gorilla_huggingface_tool_9 | {"domain": "Natural Language Processing Feature Extraction", "framework": "Hugging Face Transformers", "functionality": "Contextual Representation", "api_call": "AutoModel.from_pretrained('indobenchmark/indobert-base-p1')", "api_arguments": ["BertTokenizer", "AutoModel", "tokenizer.encode", "torch.LongTensor", "model(x... | |
gorilla_huggingface_tool_10 | {"domain": "Multimodal Feature Extraction", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "AutoModel.from_pretrained('microsoft/codebert-base')", "api_arguments": "n/a", "python_environment_requirements": ["transformers"], "example_code": "n/a", "performance": {"dataset": ... | |
gorilla_huggingface_tool_11 | {"domain": "Multimodal Feature Extraction", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "AutoModel.from_pretrained('GanjinZero/UMLSBert_ENG')", "api_arguments": [], "python_environment_requirements": ["transformers"], "example_code": "", "performance": {"dataset": "", "a... | |
gorilla_huggingface_tool_12 | {"domain": "Multimodal Feature Extraction", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "HubertModel.from_pretrained('facebook/hubert-large-ll60k')", "api_arguments": "pretrained model name", "python_environment_requirements": "transformers", "example_code": "hubert = Hu... | |
gorilla_huggingface_tool_13 | {"domain": "Natural Language Processing Feature Extraction", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "AutoModel.from_pretrained('princeton-nlp/sup-simcse-roberta-large')", "api_arguments": ["AutoTokenizer", "AutoModel"], "python_environment_requirements": ["transform... | |
gorilla_huggingface_tool_14 | {"domain": "Natural Language Processing Text Generation", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "AutoModel.from_pretrained('lewtun/tiny-random-mt5')", "api_arguments": "text", "python_environment_requirements": "transformers", "example_code": "nlp('Once upon a time...')"... | |
gorilla_huggingface_tool_15 | {"domain": "Multimodal Feature Extraction", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "AutoModel.from_pretrained('DeepPavlov/rubert-base-cased')", "api_arguments": [], "python_environment_requirements": ["transformers"], "example_code": "", "performance": {"dataset": "... | |
gorilla_huggingface_tool_16 | {"domain": "Audio Automatic Speech Recognition", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "Wav2Vec2Model.from_pretrained('microsoft/wavlm-large')", "api_arguments": "speech input", "python_environment_requirements": "transformers", "example_code": "To fine-tune the mo... | |
gorilla_huggingface_tool_17 | {"domain": "Computer Vision Image Classification", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "ViTModel.from_pretrained('google/vit-base-patch16-224-in21k')", "api_arguments": {"pretrained_model_name_or_path": "google/vit-base-patch16-224-in21k"}, "python_environment_re... | |
gorilla_huggingface_tool_18 | {"domain": "Multimodal Feature Extraction", "framework": "Hugging Face Transformers", "functionality": "Feature Engineering", "api_call": "AutoModel.from_pretrained('microsoft/unixcoder-base')", "api_arguments": {"tokenizer": "AutoTokenizer.from_pretrained('microsoft/unixcoder-base')"}, "python_environment_requirements... | |
gorilla_huggingface_tool_19 | {"domain": "Natural Language Processing Question Answering", "framework": "Transformers", "functionality": "Feature Extraction", "api_call": "DPRQuestionEncoder.from_pretrained('facebook/dpr-question_encoder-single-nq-base')", "api_arguments": ["input_ids"], "python_environment_requirements": ["transformers"], "example... | |
gorilla_huggingface_tool_20 | {"domain": "Multimodal Feature Extraction", "framework": "Hugging Face Transformers", "functionality": "Audio Spectrogram", "api_call": "ASTModel.from_pretrained('MIT/ast-finetuned-audioset-10-10-0.4593')", "api_arguments": "", "python_environment_requirements": "transformers", "example_code": "", "performance": {"data... | |
gorilla_huggingface_tool_21 | {"domain": "Multimodal Feature Extraction", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "AutoModel.from_pretrained('rasa/LaBSE')", "api_arguments": "input_text", "python_environment_requirements": ["transformers"], "example_code": "", "performance": {"dataset": "", "accu... | |
gorilla_huggingface_tool_22 | {"domain": "Natural Language Processing Sentence Similarity", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "SentenceTransformer('sentence-transformers/distilbert-base-nli-mean-tokens')", "api_arguments": ["sentences"], "python_environment_requirements": "pip install -U se... | |
gorilla_huggingface_tool_23 | {"domain": "Natural Language Processing Feature Extraction", "framework": "Hugging Face Transformers", "functionality": "Document-level embeddings of research papers", "api_call": "AutoModel.from_pretrained('malteos/scincl')", "api_arguments": {"tokenizer": "AutoTokenizer.from_pretrained('malteos/scincl')", "model": "A... | |
gorilla_huggingface_tool_24 | {"domain": "Natural Language Processing Text Generation", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "AutoModel.from_pretrained('sberbank-ai/sbert_large_mt_nlu_ru')", "api_arguments": ["sentences", "padding", "truncation", "max_length", "return_tensors"], "python_enviro... | |
gorilla_huggingface_tool_25 | {"domain": "Natural Language Processing Sentence Similarity", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "BertModel.from_pretrained('setu4993/LaBSE')", "api_arguments": ["english_sentences", "italian_sentences", "japanese_sentences"], "python_environment_requirements": ... | |
gorilla_huggingface_tool_26 | {"domain": "Natural Language Processing Token Classification", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "AutoModelForTokenClassification.from_pretrained('lanwuwei/BERTOverflow_stackoverflow_github')", "api_arguments": {"pretrained_model_name_or_path": "lanwuwei/BERTOv... | |
gorilla_huggingface_tool_27 | {"domain": "Computer Vision Video Classification", "framework": "Hugging Face Transformers", "functionality": "Feature Extraction", "api_call": "XClipModel.from_pretrained('microsoft/xclip-base-patch16-zero-shot')", "api_arguments": [], "python_environment_requirements": ["transformers"], "example_code": "For code exam... | |
gorilla_huggingface_tool_28 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image Generation", "api_call": "StableDiffusionPipeline.from_pretrained(runwayml/stable-diffusion-v1-5, torch_dtype=torch.float16)", "api_arguments": {"prompt": "a photo of an astronaut riding a horse on mars"}, "python_enviro... | |
gorilla_huggingface_tool_29 | {"domain": "Multimodal Feature Extraction", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "AutoModel.from_pretrained('facebook/dragon-plus-context-encoder')", "api_arguments": ["pretrained"], "python_environment_requirements": ["torch", "transformers"], "example_code": "import t... | |
gorilla_huggingface_tool_30 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image Generation", "api_call": "StableDiffusionPipeline.from_pretrained('CompVis/stable-diffusion-v1-4')", "api_arguments": ["prompt"], "python_environment_requirements": ["diffusers", "transformers", "scipy"], "example_code":... | |
gorilla_huggingface_tool_31 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image", "api_call": "StableDiffusionPipeline.from_pretrained('prompthero/openjourney')", "api_arguments": {"prompt": "string"}, "python_environment_requirements": ["diffusers", "torch"], "example_code": "from diffusers import ... | |
gorilla_huggingface_tool_32 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Image Generation", "api_call": "StableDiffusionInpaintPipeline.from_pretrained('runwayml/stable-diffusion-inpainting')", "api_arguments": {"prompt": "Text prompt", "image": "PIL image", "mask_image": "PIL image (mask)"}, "python_envir... | |
gorilla_huggingface_tool_33 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image Generation", "api_call": "StableDiffusionPipeline.from_pretrained('stabilityai/stable-diffusion-2-1-base', scheduler=EulerDiscreteScheduler.from_pretrained(stabilityai/stable-diffusion-2-1-base, subfolder=scheduler))", "... | |
gorilla_huggingface_tool_34 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image", "api_call": "StableDiffusionPipeline.from_pretrained('hakurei/waifu-diffusion')", "api_arguments": {"prompt": "text", "guidance_scale": "number"}, "python_environment_requirements": {"torch": "torch", "autocast": "from... | |
gorilla_huggingface_tool_35 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image", "api_call": "StableDiffusionPipeline.from_pretrained('CompVis/stable-diffusion-v1-4', vae='AutoencoderKL.from_pretrained(stabilityai/sd-vae-ft-mse)')", "api_arguments": {"model": "CompVis/stable-diffusion-v1-4", "vae":... | |
gorilla_huggingface_tool_36 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image Generation", "api_call": "StableDiffusionPipeline.from_pretrained('stabilityai/stable-diffusion-2-1')", "api_arguments": {"prompt": "a photo of an astronaut riding a horse on mars"}, "python_environment_requirements": ["... | |
gorilla_huggingface_tool_37 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image", "api_call": "pipeline('text-to-image', model=SG161222/Realistic_Vision_V1.4)", "api_arguments": {"prompt": "string", "negative_prompt": "string"}, "python_environment_requirements": ["transformers", "torch"], "example_... | |
gorilla_huggingface_tool_38 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Image generation and modification based on text prompts", "api_call": "StableDiffusionInpaintPipeline.from_pretrained('stabilityai/stable-diffusion-2-inpainting')", "api_arguments": ["prompt", "image", "mask_image"], "python_environme... | |
gorilla_huggingface_tool_39 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image", "api_call": "StableDiffusionPipeline.from_pretrained('dreamlike-art/dreamlike-photoreal-2.0')", "api_arguments": {"prompt": "photo, a church in the middle of a field of crops, bright cinematic lighting, gopro, fisheye ... | |
gorilla_huggingface_tool_40 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image Generation", "api_call": "StableDiffusionPipeline.from_pretrained('stabilityai/stable-diffusion-2', scheduler=EulerDiscreteScheduler.from_pretrained('stabilityai/stable-diffusion-2', subfolder=scheduler))", "api_argument... | |
gorilla_huggingface_tool_41 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image", "api_call": "StableDiffusionPipeline.from_pretrained('andite/anything-v4.0')", "api_arguments": {"model_id": "andite/anything-v4.0", "torch_dtype": "torch.float16", "device": "cuda", "prompt": "hatsune_miku"}, "python_... | |
gorilla_huggingface_tool_42 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image", "api_call": "pipeline('text-to-image', model='prompthero/openjourney-v4')", "api_arguments": {"text": "string"}, "python_environment_requirements": ["transformers"], "example_code": "generate_image('your text here')", ... | |
gorilla_huggingface_tool_43 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image", "api_call": "StableDiffusionPipeline.from_pretrained('CompVis/stable-diffusion-v1-4', vae=AutoencoderKL.from_pretrained('stabilityai/sd-vae-ft-ema'))", "api_arguments": {"model": "CompVis/stable-diffusion-v1-4", "vae":... | |
gorilla_huggingface_tool_44 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Generate and modify images based on text prompts", "api_call": "StableDiffusionDepth2ImgPipeline.from_pretrained('stabilityai/stable-diffusion-2-depth')", "api_arguments": {"prompt": "Text prompt to generate image", "image": "Initial ... | |
gorilla_huggingface_tool_45 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image", "api_call": "DiffusionPipeline.from_pretrained('eimiss/EimisAnimeDiffusion_1.0v')", "api_arguments": "['prompt']", "python_environment_requirements": "huggingface_hub", "example_code": "from huggingface_hub import hf_h... | |
gorilla_huggingface_tool_46 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image generation", "api_call": "StableDiffusionPipeline.from_pretrained('stabilityai/stable-diffusion-2-base', scheduler=EulerDiscreteScheduler.from_pretrained('stabilityai/stable-diffusion-2-base', subfolder=scheduler))", "ap... | |
gorilla_huggingface_tool_47 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image", "api_call": "StableDiffusionPipeline.from_pretrained('nitrosocke/nitro-diffusion')", "api_arguments": ["prompt"], "python_environment_requirements": ["torch", "diffusers"], "example_code": "from diffusers import Stable... | |
gorilla_huggingface_tool_48 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image", "api_call": "Text2ImagePipeline(model='Linaqruf/anything-v3.0')", "api_arguments": "", "python_environment_requirements": "transformers", "example_code": "", "performance": {"dataset": "", "accuracy": ""}, "description... | |
gorilla_huggingface_tool_49 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image", "api_call": "pipeline('text-to-image', model='wavymulder/Analog-Diffusion')", "api_arguments": ["prompt"], "python_environment_requirements": ["transformers"], "example_code": "text_to_image('analog style landscape')",... | |
gorilla_huggingface_tool_50 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image", "api_call": "StableDiffusionPipeline.from_pretrained('dreamlike-art/dreamlike-diffusion-1.0')", "api_arguments": ["prompt"], "python_environment_requirements": ["diffusers", "torch"], "example_code": "from diffusers im... | |
gorilla_huggingface_tool_51 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image", "api_call": "StableDiffusionPipeline.from_pretrained('dreamlike-art/dreamlike-anime-1.0')", "api_arguments": ["prompt", "negative_prompt"], "python_environment_requirements": ["diffusers", "torch"], "example_code": "fr... | |
gorilla_huggingface_tool_52 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image", "api_call": "pipeline('text-to-image', model=Lykon/DreamShaper)", "api_arguments": "", "python_environment_requirements": "transformers, torch", "example_code": "https://huggingface.co/spaces/Lykon/DreamShaper-webui", ... | |
gorilla_huggingface_tool_53 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image", "api_call": "StableDiffusionPipeline.from_pretrained('darkstorm2150/Protogen_v2.2_Official_Release')", "api_arguments": {"model_id": "darkstorm2150/Protogen_v2.2_Official_Release", "torch_dtype": "torch.float16"}, "pyt... | |
gorilla_huggingface_tool_54 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image", "api_call": "pipeline('text-to-image', model='gsdf/Counterfeit-V2.5')", "api_arguments": "text", "python_environment_requirements": "transformers", "example_code": "((masterpiece,best quality)),1girl, solo, animal ears... | |
gorilla_huggingface_tool_55 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image", "api_call": "pipeline('text-to-image', model='22h/vintedois-diffusion-v0-1')", "api_arguments": ["prompt", "CFG Scale", "Scheduler", "Steps", "Seed"], "python_environment_requirements": ["transformers"], "example_code"... | |
gorilla_huggingface_tool_56 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Image generation and modification based on text prompts", "api_call": "StableDiffusionUpscalePipeline.from_pretrained('stabilityai/stable-diffusion-x4-upscaler')", "api_arguments": {"model_id": "stabilityai/stable-diffusion-x4-upscale... | |
gorilla_huggingface_tool_57 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Text-to-Image", "api_call": "StableDiffusionPipeline.from_pretrained('darkstorm2150/Protogen_v5.8_Official_Release')", "api_arguments": {"model_id": "darkstorm2150/Protogen_v5.8_Official_Release", "torch_dtype": "torch.float16"}, "pyt... | |
gorilla_huggingface_tool_58 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Image Captioning", "api_call": "VisionEncoderDecoderModel.from_pretrained('nlpconnect/vit-gpt2-image-captioning')", "api_arguments": {"model": "nlpconnect/vit-gpt2-image-captioning"}, "python_environment_requirements": ["... | |
gorilla_huggingface_tool_59 | {"domain": "Multimodal Text-to-Image", "framework": "Hugging Face", "functionality": "Image Upscaling", "api_call": "StableDiffusionLatentUpscalePipeline.from_pretrained(stabilityai/sd-x2-latent-upscaler)", "api_arguments": {"prompt": "text prompt", "image": "low resolution latents", "num_inference_steps": 20, "guidanc... | |
gorilla_huggingface_tool_60 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "pipeline('ocr', model='kha-white/manga-ocr-base')", "api_arguments": "image", "python_environment_requirements": "transformers", "example_code": "", "performance": {"dataset": "manga109s", "acc... | |
gorilla_huggingface_tool_61 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Image Captioning", "api_call": "BlipForConditionalGeneration.from_pretrained('Salesforce/blip-image-captioning-base')", "api_arguments": ["raw_image", "text", "return_tensors"], "python_environment_requirements": ["reques... | |
gorilla_huggingface_tool_62 | {"domain": "Multimodal Image-to-Text", "framework": "Transformers", "functionality": "Image Captioning", "api_call": "BlipForConditionalGeneration.from_pretrained(Salesforce/blip-image-captioning-large)", "api_arguments": {"raw_image": "Image", "text": "Optional Text"}, "python_environment_requirements": {"transformers... | |
gorilla_huggingface_tool_63 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "VisionEncoderDecoderModel.from_pretrained('microsoft/trocr-base-printed')", "api_arguments": ["images", "return_tensors"], "python_environment_requirements": ["transformers", "PIL", "requests"]... | |
gorilla_huggingface_tool_64 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "Blip2ForConditionalGeneration.from_pretrained('Salesforce/blip2-opt-2.7b')", "api_arguments": {"img_url": "https://storage.googleapis.com/sfr-vision-language-research/BLIP/demo.jpg", "question"... | |
gorilla_huggingface_tool_65 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "VisionEncoderDecoderModel.from_pretrained('microsoft/trocr-small-handwritten')", "api_arguments": ["images", "return_tensors"], "python_environment_requirements": ["transformers", "PIL", "reque... | |
gorilla_huggingface_tool_66 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "AutoModel.from_pretrained('naver-clova-ix/donut-base')", "api_arguments": "image", "python_environment_requirements": "transformers", "example_code": "result = donut(image_path)", "performance"... | |
gorilla_huggingface_tool_67 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "PromptCap('vqascore/promptcap-coco-vqa')", "api_arguments": {"prompt": "string", "image": "string"}, "python_environment_requirements": "pip install promptcap", "example_code": ["import torch",... | |
gorilla_huggingface_tool_68 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "pipeline('text-generation', model='microsoft/git-base-coco')", "api_arguments": "image", "python_environment_requirements": "transformers", "example_code": "See the model hub for fine-tuned ver... | |
gorilla_huggingface_tool_69 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "VisionEncoderDecoderModel.from_pretrained('facebook/mmt-en-de')", "api_arguments": {"image_paths": "List of image file paths", "max_length": 20, "num_beams": 8}, "python_environment_requirement... | |
gorilla_huggingface_tool_70 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "Blip2ForConditionalGeneration.from_pretrained('Salesforce/blip2-flan-t5-xl')", "api_arguments": ["raw_image", "question"], "python_environment_requirements": ["transformers", "requests", "PIL"]... | |
gorilla_huggingface_tool_71 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "Blip2ForConditionalGeneration.from_pretrained('Salesforce/blip2-flan-t5-xxl')", "api_arguments": {"raw_image": "Image", "question": "Text"}, "python_environment_requirements": ["requests", "PIL... | |
gorilla_huggingface_tool_72 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "VisionEncoderDecoderModel.from_pretrained('microsoft/trocr-large-handwritten')", "api_arguments": {"pretrained_model_name_or_path": "microsoft/trocr-large-handwritten"}, "python_environment_req... | |
gorilla_huggingface_tool_73 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Image-to-Text", "api_call": "VisionEncoderDecoderModel.from_pretrained('ydshieh/vit-gpt2-coco-en')", "api_arguments": {"loc": "ydshieh/vit-gpt2-coco-en"}, "python_environment_requirements": ["torch", "requests", "PIL", "t... | |
gorilla_huggingface_tool_74 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "text2text-generation", "api_call": "pipeline('text2text-generation', model='salesforce/blip2-opt-6.7b')", "api_arguments": "image, optional text", "python_environment_requirements": "transformers", "example_code": "Refer ... | |
gorilla_huggingface_tool_75 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "VisionEncoderDecoderModel.from_pretrained('microsoft/trocr-base-handwritten')", "api_arguments": {"pretrained_model_name_or_path": "microsoft/trocr-base-handwritten"}, "python_environment_requi... | |
gorilla_huggingface_tool_76 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "AutoModel.from_pretrained('naver-clova-ix/donut-base-finetuned-cord-v2')", "api_arguments": {"image": "path_to_image"}, "python_environment_requirements": "transformers", "example_code": "from ... | |
gorilla_huggingface_tool_77 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "GenerativeImage2TextModel.from_pretrained('microsoft/git-large-coco')", "api_arguments": "image, text", "python_environment_requirements": "transformers", "example_code": "For code examples, we... | |
gorilla_huggingface_tool_78 | {"domain": "Multimodal Visual Question Answering", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "Pix2StructForConditionalGeneration.from_pretrained('google/pix2struct-chartqa-base')", "api_arguments": ["t5x_checkpoint_path", "pytorch_dump_path", "use-large"], "python_environmen... | |
gorilla_huggingface_tool_79 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "Pix2StructForConditionalGeneration.from_pretrained('google/pix2struct-base')", "api_arguments": {"t5x_checkpoint_path": "PATH_TO_T5X_CHECKPOINTS", "pytorch_dump_path": "PATH_TO_SAVE"}, "python_... | |
gorilla_huggingface_tool_80 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "Pix2StructForConditionalGeneration.from_pretrained('google/pix2struct-textcaps-base')", "api_arguments": {"images": "image", "text": "text", "return_tensors": "pt", "max_patches": 512}, "python... | |
gorilla_huggingface_tool_81 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Image Captioning", "api_call": "pipeline('image-to-text')", "api_arguments": "image", "python_environment_requirements": "transformers", "example_code": "git_base(image)", "performance": {"dataset": ["COCO", "Conceptual C... | |
gorilla_huggingface_tool_82 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "VisionEncoderDecoderModel.from_pretrained('microsoft/trocr-large-printed')", "api_arguments": {"TrOCRProcessor": "from_pretrained('microsoft/trocr-large-printed')", "images": "image", "return_t... | |
gorilla_huggingface_tool_83 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "Pix2StructForConditionalGeneration.from_pretrained('google/deplot')", "api_arguments": {"images": "image", "text": "question", "return_tensors": "pt", "max_new_tokens": 512}, "python_environmen... | |
gorilla_huggingface_tool_84 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "AutoModelForCausalLM.from_pretrained('microsoft/git-large-textcaps')", "api_arguments": "image, text", "python_environment_requirements": "transformers", "example_code": "N/A", "performance": {... | |
gorilla_huggingface_tool_85 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "pipeline('text-generation', model='microsoft/git-large-r-textcaps')", "api_arguments": "image", "python_environment_requirements": "transformers", "example_code": "", "performance": {"dataset":... | |
gorilla_huggingface_tool_86 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "VisionEncoderDecoderModel.from_pretrained('microsoft/trocr-small-stage1')", "api_arguments": {"url": "https://fki.tic.heia-fr.ch/static/img/a01-122-02-00.jpg"}, "python_environment_requirements... | |
gorilla_huggingface_tool_87 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "VisionEncoderDecoderModel.from_pretrained('microsoft/trocr-small-printed')", "api_arguments": {"image": "Image.open(requests.get(url, stream=True).raw).convert('RGB')", "processor": "TrOCRProce... | |
gorilla_huggingface_tool_88 | {"domain": "Multimodal Text-to-Video", "framework": "Hugging Face", "functionality": "Text-to-Video Synthesis", "api_call": "pipeline('text-to-video-synthesis')", "api_arguments": {"text": "A short text description in English"}, "python_environment_requirements": ["modelscope==1.4.2", "open_clip_torch", "pytorch-lightn... | |
gorilla_huggingface_tool_89 | {"domain": "Multimodal Image-to-Text", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "MgpstrForSceneTextRecognition.from_pretrained('alibaba-damo/mgp-str-base')", "api_arguments": {"model_name": "alibaba-damo/mgp-str-base"}, "python_environment_requirements": {"packages": ["tran... | |
gorilla_huggingface_tool_90 | {"domain": "Multimodal Text-to-Video", "framework": "Hugging Face", "functionality": "Text-to-video-synthesis", "api_call": "DiffusionPipeline.from_pretrained('damo-vilab/text-to-video-ms-1.7b')", "api_arguments": ["prompt", "num_inference_steps", "num_frames"], "python_environment_requirements": ["pip install git+http... | |
gorilla_huggingface_tool_91 | {"domain": "Multimodal Text-to-Video", "framework": "Hugging Face", "functionality": "Text-to-Video", "api_call": "pipeline('text-to-video', model='chavinlo/TempoFunk')", "api_arguments": ["input_text"], "python_environment_requirements": ["transformers"], "example_code": "", "performance": {"dataset": "", "accuracy": ... | |
gorilla_huggingface_tool_92 | {"domain": "Multimodal Text-to-Video", "framework": "Hugging Face", "functionality": "Text-to-Video", "api_call": "pipeline('text-to-video', model='ImRma/Brucelee')", "api_arguments": ["your_text"], "python_environment_requirements": ["transformers"], "example_code": "", "performance": {"dataset": "", "accuracy": ""}, ... | |
gorilla_huggingface_tool_93 | {"domain": "Multimodal Text-to-Video", "framework": "Hugging Face", "functionality": "Text-to-Video", "api_call": "pipeline('text-to-video', model='camenduru/text2-video-zero')", "api_arguments": ["input_text"], "python_environment_requirements": ["transformers"], "example_code": "", "performance": {"dataset": "", "acc... | |
gorilla_huggingface_tool_94 | {"domain": "Multimodal Text-to-Video", "framework": "Hugging Face", "functionality": "Text-to-Video Synthesis", "api_call": "DiffusionPipeline.from_pretrained('damo-vilab/text-to-video-ms-1.7b-legacy')", "api_arguments": ["prompt", "num_inference_steps"], "python_environment_requirements": ["diffusers", "transformers",... | |
gorilla_huggingface_tool_95 | {"domain": "Multimodal Text-to-Video", "framework": "Hugging Face", "functionality": "Text-to-Video", "api_call": "BaseModel.from_pretrained('duncan93/video')", "api_arguments": "", "python_environment_requirements": "Asteroid", "example_code": "", "performance": {"dataset": "OpenAssistant/oasst1", "accuracy": ""}, "de... | |
gorilla_huggingface_tool_96 | {"domain": "Multimodal Text-to-Video", "framework": "Hugging Face", "functionality": "Text-to-Video Generation", "api_call": "TuneAVideoPipeline.from_pretrained('nitrosocke/mo-di-diffusion', unet=UNet3DConditionModel.from_pretrained('Tune-A-Video-library/mo-di-bear-guitar', subfolder='unet'), torch_dtype=torch.float16)... | |
gorilla_huggingface_tool_97 | {"domain": "Multimodal Text-to-Video", "framework": "Hugging Face", "functionality": "Text-to-Video Generation", "api_call": "TuneAVideoPipeline.from_pretrained('nitrosocke/redshift-diffusion', unet=UNet3DConditionModel.from_pretrained('Tune-A-Video-library/redshift-man-skiing', subfolder='unet'))", "api_arguments": {"... | |
gorilla_huggingface_tool_98 | {"domain": "Multimodal Visual Question Answering", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "AutoModel.from_pretrained('microsoft/git-base-textvqa')", "api_arguments": "image, question", "python_environment_requirements": "transformers", "example_code": "vqa_pipeline({'imag... | |
gorilla_huggingface_tool_99 | {"domain": "Multimodal Visual Question Answering", "framework": "Hugging Face Transformers", "functionality": "Transformers", "api_call": "pipeline('visual-question-answering')", "api_arguments": "image, question", "python_environment_requirements": ["transformers"], "example_code": "vqa(image='path/to/image.jpg', ques... |
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