Instructions to use lightx2v/Encoders with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use lightx2v/Encoders with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download models_clip_open-clip-xlm-roberta-large-vit-huge-14-fp8.pth from lightx2v/Encoders: direct link, hf CLI and curl.
- Browser
- Download file 637 MB
-
https://huggingface.co/lightx2v/Encoders/resolve/main/models_clip_open-clip-xlm-roberta-large-vit-huge-14-fp8.pth
- Command line
-
hf download hf://lightx2v/Encoders/models_clip_open-clip-xlm-roberta-large-vit-huge-14-fp8.pth
-
curl -L -o models_clip_open-clip-xlm-roberta-large-vit-huge-14-fp8.pth https://huggingface.co/lightx2v/Encoders/resolve/main/models_clip_open-clip-xlm-roberta-large-vit-huge-14-fp8.pth
637 MB
- Xet hash:
- 77149473f548b4220fe14dd822ab44c557dbede3779ec6bf41f1f79a3cc55621
- Size of remote file:
- 637 MB
- SHA256:
- f20da116c0ee6b0aeb1e73033996efec8c8b51640ba9926fb51372a1b199d289
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