How to use breezedeus/coin-clip-vit-base-patch32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="breezedeus/coin-clip-vit-base-patch32")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("breezedeus/coin-clip-vit-base-patch32") model = AutoModelForZeroShotImageClassification.from_pretrained("breezedeus/coin-clip-vit-base-patch32", device_map="auto")
https://huggingface.co/breezedeus/coin-clip-vit-base-patch32/resolve/27d73355b0260a2801723e8509af3dbfb3492ba1/tokenizer.json
hf download hf://breezedeus/coin-clip-vit-base-patch32@27d73355b0260a2801723e8509af3dbfb3492ba1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/breezedeus/coin-clip-vit-base-patch32/resolve/27d73355b0260a2801723e8509af3dbfb3492ba1/tokenizer.json
