How to use Andron00e/CLIPForImageClassification-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Andron00e/CLIPForImageClassification-v1") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("Andron00e/CLIPForImageClassification-v1") model = AutoModelForImageClassification.from_pretrained("Andron00e/CLIPForImageClassification-v1", device_map="auto")
https://huggingface.co/Andron00e/CLIPForImageClassification-v1/resolve/eec6bf2d0e60e39be759ec4b45c53bd960f41486/tokenizer.json
hf download hf://Andron00e/CLIPForImageClassification-v1@eec6bf2d0e60e39be759ec4b45c53bd960f41486/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Andron00e/CLIPForImageClassification-v1/resolve/eec6bf2d0e60e39be759ec4b45c53bd960f41486/tokenizer.json
