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
| { | |
| "model_type": "skinmap", | |
| "architectures": [ | |
| "SkinMapModel" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_skinmap.SkinMapConfig", | |
| "AutoModel": "modeling_skinmap.SkinMapModel" | |
| }, | |
| "embedding_dim": 1024, | |
| "pipeline_config": "weights/embedding_pipeline_config.json", | |
| "probes_dir": "probes" | |
| } |