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)# pip install -U transformers accelerate # 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
Download probes/label_encoder_fitzpatrick_modspecific.pkl from Digital-Dermatology/SkinMap: direct link, hf CLI and curl.
- Browser
- Download file 278 Bytes
-
https://huggingface.co/Digital-Dermatology/SkinMap/resolve/main/probes/label_encoder_fitzpatrick_modspecific.pkl
- Command line
-
hf download hf://Digital-Dermatology/SkinMap/probes/label_encoder_fitzpatrick_modspecific.pkl
-
curl -L -o label_encoder_fitzpatrick_modspecific.pkl https://huggingface.co/Digital-Dermatology/SkinMap/resolve/main/probes/label_encoder_fitzpatrick_modspecific.pkl
278 Bytes
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