Instructions to use ahmedesmail16/Project_Class_Aug_Model_vit-large-patch16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahmedesmail16/Project_Class_Aug_Model_vit-large-patch16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ahmedesmail16/Project_Class_Aug_Model_vit-large-patch16") 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("ahmedesmail16/Project_Class_Aug_Model_vit-large-patch16") model = AutoModelForImageClassification.from_pretrained("ahmedesmail16/Project_Class_Aug_Model_vit-large-patch16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from ahmedesmail16/Project_Class_Aug_Model_vit-large-patch16: direct link, hf CLI and curl.
- Browser
- Download file 925 Bytes
-
https://huggingface.co/ahmedesmail16/Project_Class_Aug_Model_vit-large-patch16/resolve/main/config.json
- Command line
-
hf download hf://ahmedesmail16/Project_Class_Aug_Model_vit-large-patch16/config.json
-
curl -L -o config.json https://huggingface.co/ahmedesmail16/Project_Class_Aug_Model_vit-large-patch16/resolve/main/config.json
925 Bytes
| { | |
| "_name_or_path": "google/vit-large-patch16-224-in21k", | |
| "architectures": [ | |
| "ViTForImageClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "encoder_stride": 16, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 1024, | |
| "id2label": { | |
| "0": "Erythromelal", | |
| "1": "Guttate", | |
| "2": "Inverse", | |
| "3": "Nail", | |
| "4": "Normal", | |
| "5": "Plaque", | |
| "6": "Pustular" | |
| }, | |
| "image_size": 224, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "label2id": { | |
| "Erythromelal": 0, | |
| "Guttate": 1, | |
| "Inverse": 2, | |
| "Nail": 3, | |
| "Normal": 4, | |
| "Plaque": 5, | |
| "Pustular": 6 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "model_type": "vit", | |
| "num_attention_heads": 16, | |
| "num_channels": 3, | |
| "num_hidden_layers": 24, | |
| "patch_size": 16, | |
| "problem_type": "single_label_classification", | |
| "qkv_bias": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.38.2" | |
| } | |