Instructions to use suncy13/Foot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suncy13/Foot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="suncy13/Foot") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("suncy13/Foot") model = AutoModelForImageClassification.from_pretrained("suncy13/Foot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from suncy13/Foot: direct link, hf CLI and curl.
- Browser
- Download file 1.18 kB
-
https://huggingface.co/suncy13/Foot/resolve/main/config.json
- Command line
-
hf download hf://suncy13/Foot/config.json
-
curl -L -o config.json https://huggingface.co/suncy13/Foot/resolve/main/config.json
1.18 kB
| { | |
| "_name_or_path": "facebook/dinov2-base-imagenet1k-1-layer", | |
| "apply_layernorm": true, | |
| "architectures": [ | |
| "Dinov2ForImageClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "drop_path_rate": 0.0, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "Flat Arch", | |
| "1": "High Arch", | |
| "2": "Normal Arch" | |
| }, | |
| "image_size": 518, | |
| "initializer_range": 0.02, | |
| "label2id": { | |
| "Flat Arch": "0", | |
| "High Arch": "1", | |
| "Normal Arch": "2" | |
| }, | |
| "layer_norm_eps": 1e-06, | |
| "layerscale_value": 1.0, | |
| "mlp_ratio": 4, | |
| "model_type": "dinov2", | |
| "num_attention_heads": 12, | |
| "num_channels": 3, | |
| "num_hidden_layers": 12, | |
| "out_features": [ | |
| "stage12" | |
| ], | |
| "out_indices": [ | |
| 12 | |
| ], | |
| "patch_size": 14, | |
| "problem_type": "single_label_classification", | |
| "qkv_bias": true, | |
| "reshape_hidden_states": true, | |
| "stage_names": [ | |
| "stem", | |
| "stage1", | |
| "stage2", | |
| "stage3", | |
| "stage4", | |
| "stage5", | |
| "stage6", | |
| "stage7", | |
| "stage8", | |
| "stage9", | |
| "stage10", | |
| "stage11", | |
| "stage12" | |
| ], | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.35.2", | |
| "use_swiglu_ffn": false | |
| } | |