Instructions to use FluidInference/laya-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use FluidInference/laya-coreml with Laya:
# 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 laya_multilingual_e8_L128_options32.mlmodelc/weights/weight.bin from FluidInference/laya-coreml: direct link, hf CLI and curl.
- Browser
- Download file 448 MB
-
https://huggingface.co/FluidInference/laya-coreml/resolve/40e4036b3db4a89d11bab1d5a493b252f0901f61/laya_multilingual_e8_L128_options32.mlmodelc/weights/weight.bin
- Command line
-
hf download hf://FluidInference/laya-coreml@40e4036b3db4a89d11bab1d5a493b252f0901f61/laya_multilingual_e8_L128_options32.mlmodelc/weights/weight.bin
-
curl -L -o weight.bin https://huggingface.co/FluidInference/laya-coreml/resolve/40e4036b3db4a89d11bab1d5a493b252f0901f61/laya_multilingual_e8_L128_options32.mlmodelc/weights/weight.bin
448 MB
- Xet hash:
- d390375e2d5dcdcc520491e20f4d3abc22df7ee2b7353a1d3d86df96133f4135
- Size of remote file:
- 448 MB
- SHA256:
- ca1e5da71f1498eac7b68722c9f5c3d43d1ce299aaf0c29743585749f3cc9677
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.