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
| { | |
| "projector_type": "linear", | |
| "projector_dim": 1024, | |
| "d_cat": 11008, | |
| "text_dim": 6400, | |
| "teacher_dims": [ | |
| 768, | |
| 768, | |
| 768, | |
| 768, | |
| 768, | |
| 768, | |
| 768, | |
| 512, | |
| 512, | |
| 1536, | |
| 1536, | |
| 1536 | |
| ], | |
| "model_paths": [ | |
| "assets/openai_clip-vit-large-patch14-clip-fresh-bee-82-random/epoch_100", | |
| "assets/openai_clip-vit-large-patch14-clip-fresh-bee-82-random/epoch_40", | |
| "assets/openai_clip-vit-large-patch14-clip-fiery-feather-88-random/epoch_100", | |
| "assets/openai_clip-vit-large-patch14-clip-fiery-feather-88-random/epoch_40", | |
| "assets/openai_clip-vit-large-patch14-siglip-fine-star-90-random/epoch_100", | |
| "assets/openai_clip-vit-large-patch14-siglip-fine-star-90-random/epoch_40", | |
| "assets/suinleelab_monet-distinctive-serenity-56/epoch_20", | |
| "assets/openai_clip-vit-base-patch32-silver-haze-61-random/epoch_50", | |
| "assets/openai_clip-vit-base-patch32-jumping-bush-60/epoch_20", | |
| "dino_qderma", | |
| "ibot_qderma", | |
| "mae_qderma" | |
| ], | |
| "clip_indices": [ | |
| 0, | |
| 1, | |
| 2, | |
| 3, | |
| 4, | |
| 5, | |
| 6, | |
| 7, | |
| 8 | |
| ] | |
| } |