Duplicated from openai/clip-vit-large-patch14
How to use polypo/openai-clip-vit-large-patch14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="polypo/openai-clip-vit-large-patch14") 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 AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("polypo/openai-clip-vit-large-patch14") model = AutoModelForZeroShotImageClassification.from_pretrained("polypo/openai-clip-vit-large-patch14", device_map="auto")
https://huggingface.co/polypo/openai-clip-vit-large-patch14/resolve/main/tokenizer.json
hf download hf://polypo/openai-clip-vit-large-patch14/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/polypo/openai-clip-vit-large-patch14/resolve/main/tokenizer.json
