How to use microsoft/xclip-base-patch32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="microsoft/xclip-base-patch32")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("microsoft/xclip-base-patch32") model = AutoModel.from_pretrained("microsoft/xclip-base-patch32", device_map="auto")
https://huggingface.co/microsoft/xclip-base-patch32/resolve/main/tokenizer.json
hf download hf://microsoft/xclip-base-patch32/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/microsoft/xclip-base-patch32/resolve/main/tokenizer.json
