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.pth from lightx2v/Encoders: direct link, hf CLI and curl.
- Browser
- Download file 4.77 GB
-
https://huggingface.co/lightx2v/Encoders/resolve/main/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth
- Command line
-
hf download hf://lightx2v/Encoders/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth
-
curl -L -o models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth https://huggingface.co/lightx2v/Encoders/resolve/main/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth
4.77 GB
- Xet hash:
- 9ed4198167ed3ee28c8ebfe31ac45f90aafa7239857b863bcfef849a4f3722ee
- Size of remote file:
- 4.77 GB
- SHA256:
- 628c9998b613391f193eb67ff68da9667d75f492911e4eb3decf23460a158c38
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