How to use pykale/MeDSLIP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="pykale/MeDSLIP") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pykale/MeDSLIP", device_map="auto")
https://huggingface.co/pykale/MeDSLIP/resolve/main/valid.json
hf download hf://pykale/MeDSLIP/valid.json
curl -L -o valid.json https://huggingface.co/pykale/MeDSLIP/resolve/main/valid.json
