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