Image Feature Extraction
Transformers
Safetensors
skinmap
feature-extraction
dermatology
medical-imaging
embeddings
clip
custom_code
Instructions to use Digital-Dermatology/SkinMap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Digital-Dermatology/SkinMap with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="Digital-Dermatology/SkinMap", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Digital-Dermatology/SkinMap", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "version": 1, | |
| "output_dir": null, | |
| "skinmap_root": null, | |
| "models": [ | |
| { | |
| "source": "clip_teachers/clip_vit-large-patch14_1of4", | |
| "type": "clip", | |
| "is_local": true | |
| }, | |
| { | |
| "source": "clip_teachers/clip_vit-large-patch14_2of4", | |
| "type": "clip", | |
| "is_local": true | |
| }, | |
| { | |
| "source": "clip_teachers/clip_vit-large-patch14_3of4", | |
| "type": "clip", | |
| "is_local": true | |
| }, | |
| { | |
| "source": "clip_teachers/clip_vit-large-patch14_4of4", | |
| "type": "clip", | |
| "is_local": true | |
| }, | |
| { | |
| "source": "clip_teachers/siglip_vit-large-patch14_1of3", | |
| "type": "clip", | |
| "is_local": true | |
| }, | |
| { | |
| "source": "clip_teachers/siglip_vit-large-patch14_2of3", | |
| "type": "clip", | |
| "is_local": true | |
| }, | |
| { | |
| "source": "clip_teachers/siglip_vit-large-patch14_3of3", | |
| "type": "clip", | |
| "is_local": true | |
| }, | |
| { | |
| "source": "clip_teachers/clip_vit-base-patch32", | |
| "type": "clip", | |
| "is_local": true | |
| }, | |
| { | |
| "source": "clip_teachers/siglip_vit-base-patch32", | |
| "type": "clip", | |
| "is_local": true | |
| }, | |
| { | |
| "source": "ssl_teachers/dino_vit-base-patch16.pth", | |
| "type": "ssl", | |
| "is_local": true | |
| }, | |
| { | |
| "source": "ssl_teachers/ibot_vit-base-patch16.pth", | |
| "type": "ssl", | |
| "is_local": true | |
| }, | |
| { | |
| "source": "ssl_teachers/mae_vit-base-patch16.pth", | |
| "type": "ssl", | |
| "is_local": true | |
| } | |
| ], | |
| "svd": { | |
| "image": null, | |
| "text": null, | |
| "components": null | |
| }, | |
| "artifacts": { | |
| "embeddings_npz": null, | |
| "dataframe_csv": null, | |
| "atlas_parquet": null, | |
| "faiss_index": null | |
| }, | |
| "vector": { | |
| "dimension": 1024, | |
| "column": "embedding", | |
| "stored_in_atlas": true | |
| }, | |
| "projector": { | |
| "model": "projector/projector_model.pth", | |
| "whitening_stats": "projector/whitening_stats.npz", | |
| "config": "projector/projector_config.json", | |
| "used": true | |
| }, | |
| "umap": { | |
| "model": null | |
| }, | |
| "hybrid_retrieval": null | |
| } |