How to use shaunster/clip_8_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="shaunster/clip_8_model") 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("shaunster/clip_8_model") model = AutoModelForZeroShotImageClassification.from_pretrained("shaunster/clip_8_model", device_map="auto")
https://huggingface.co/shaunster/clip_8_model/resolve/main/tokenizer.json
hf download hf://shaunster/clip_8_model/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/shaunster/clip_8_model/resolve/main/tokenizer.json
