Zero-Shot Image Classification
OpenCLIP
Safetensors
English
German
dermatology
medical
clip
image-text
Instructions to use laion/DermaLit-CLIP-ViT-B-16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use laion/DermaLit-CLIP-ViT-B-16 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:laion/DermaLit-CLIP-ViT-B-16') tokenizer = open_clip.get_tokenizer('hf-hub:laion/DermaLit-CLIP-ViT-B-16') - Notebooks
- Google Colab
- Kaggle
Request access to DermaLit-CLIP (research use only)
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
These weights were trained on copyrighted dermatology images under the German research exception for text and data mining (§60d UrhG). Access is granted for non-commercial scientific research and teaching only. Requests are reviewed by hand. Please use an account that shows your name and institution. The licence text is the file LICENSE.md in this repository: https://huggingface.co/laion/DermaLit-CLIP-ViT-B-16/blob/main/LICENSE.md
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