Zero-Shot Image Classification
Transformers
PyTorch
English
clip
feature-extraction
medical
custom_code
Instructions to use Idan0405/ClipMD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Idan0405/ClipMD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="Idan0405/ClipMD", trust_remote_code=True) pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Idan0405/ClipMD", trust_remote_code=True) model = AutoModel.from_pretrained("Idan0405/ClipMD", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Ctrl+K