Instructions to use rapadilla/xclip-base-patch32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rapadilla/xclip-base-patch32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="rapadilla/xclip-base-patch32")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("rapadilla/xclip-base-patch32") model = AutoModel.from_pretrained("rapadilla/xclip-base-patch32") - Notebooks
- Google Colab
- Kaggle
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