Instructions to use CondadosAI/xclip_base_patch32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CondadosAI/xclip_base_patch32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="CondadosAI/xclip_base_patch32")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("CondadosAI/xclip_base_patch32") model = AutoModel.from_pretrained("CondadosAI/xclip_base_patch32") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
eb404b5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:abf286e8cdd0612761c3e42d3a55eca998382dfa67a04a0f3fdcdfa4f150cdbb
size 786414772
|