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
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |
| *.bin filter=lfs diff=lfs merge=lfs -text | |
| *.pth filter=lfs diff=lfs merge=lfs -text | |
| *.npz filter=lfs diff=lfs merge=lfs -text | |
| *.npy filter=lfs diff=lfs merge=lfs -text | |
| *.faiss filter=lfs diff=lfs merge=lfs -text | |
| *.bin.index filter=lfs diff=lfs merge=lfs -text | |
| analysis/**/*.bin filter=lfs diff=lfs merge=lfs -text | |