Image Classification
Transformers
TensorBoard
Safetensors
deit
Generated from Trainer
Eval Results (legacy)
Instructions to use alirzb/S1_M1_R2_deit_42502103 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alirzb/S1_M1_R2_deit_42502103 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="alirzb/S1_M1_R2_deit_42502103") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("alirzb/S1_M1_R2_deit_42502103") model = AutoModelForImageClassification.from_pretrained("alirzb/S1_M1_R2_deit_42502103") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 0
Browse files- config.json +32 -0
- model.safetensors +3 -0
- preprocessor_config.json +28 -0
- runs/Jan02_23-22-05_wbg004/events.out.tfevents.1704190928.wbg004 +3 -0
- training_args.bin +3 -0
config.json
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{
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"_name_or_path": "facebook/deit-base-distilled-patch16-224",
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"architectures": [
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"DeiTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "None_seizures",
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"1": "Seizures"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"None_seizures": "0",
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"Seizures": "1"
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},
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"layer_norm_eps": 1e-12,
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"model_type": "deit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.36.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:42efa553e7ad576d27d19c33a7bbf586c3cb6ee61f5bc1b6b8ad4b3785509719
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size 343230408
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preprocessor_config.json
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{
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"crop_size": {
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"height": 224,
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"width": 224
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},
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"do_center_crop": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"feature_extractor_type": "DeiTFeatureExtractor",
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "DeiTFeatureExtractor",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 256,
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"width": 256
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}
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}
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runs/Jan02_23-22-05_wbg004/events.out.tfevents.1704190928.wbg004
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version https://git-lfs.github.com/spec/v1
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oid sha256:3c05ed1796a1046fdc791ffba5960a43fbbf267fd74131bd77c3d7b47b571629
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size 5292
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:5f401f270a681839c11665f34d85466c5850bdad40f70445168ce09a2a8bcb22
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size 4271
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