Instructions to use buddhadeb33/output_dinov2_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use buddhadeb33/output_dinov2_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="buddhadeb33/output_dinov2_large") 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("buddhadeb33/output_dinov2_large") model = AutoModelForImageClassification.from_pretrained("buddhadeb33/output_dinov2_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "apply_layernorm": true, | |
| "architectures": [ | |
| "Dinov2ForImageClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "drop_path_rate": 0.0, | |
| "dtype": "float32", | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 1024, | |
| "id2label": { | |
| "0": "Pano", | |
| "1": "FMX", | |
| "2": "BW", | |
| "3": "PA", | |
| "4": "PC", | |
| "5": "IOP", | |
| "6": "Photo", | |
| "7": "NA" | |
| }, | |
| "image_size": 518, | |
| "initializer_range": 0.02, | |
| "label2id": { | |
| "BW": 2, | |
| "FMX": 1, | |
| "IOP": 5, | |
| "NA": 7, | |
| "PA": 3, | |
| "PC": 4, | |
| "Pano": 0, | |
| "Photo": 6 | |
| }, | |
| "layer_norm_eps": 1e-06, | |
| "layerscale_value": 1.0, | |
| "mlp_ratio": 4, | |
| "model_type": "dinov2", | |
| "num_attention_heads": 16, | |
| "num_channels": 3, | |
| "num_hidden_layers": 24, | |
| "out_features": [ | |
| "stage24" | |
| ], | |
| "out_indices": [ | |
| 24 | |
| ], | |
| "patch_size": 14, | |
| "problem_type": "multi_label_classification", | |
| "qkv_bias": true, | |
| "reshape_hidden_states": true, | |
| "stage_names": [ | |
| "stem", | |
| "stage1", | |
| "stage2", | |
| "stage3", | |
| "stage4", | |
| "stage5", | |
| "stage6", | |
| "stage7", | |
| "stage8", | |
| "stage9", | |
| "stage10", | |
| "stage11", | |
| "stage12", | |
| "stage13", | |
| "stage14", | |
| "stage15", | |
| "stage16", | |
| "stage17", | |
| "stage18", | |
| "stage19", | |
| "stage20", | |
| "stage21", | |
| "stage22", | |
| "stage23", | |
| "stage24" | |
| ], | |
| "transformers_version": "5.0.0", | |
| "use_cache": false, | |
| "use_mask_token": true, | |
| "use_swiglu_ffn": false | |
| } | |