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/coremldata.bin from FluidInference/laya-coreml: direct link, hf CLI and curl.
- Browser
- Download file 1.12 kB
-
https://huggingface.co/FluidInference/laya-coreml/resolve/de76e2e0eb03d7cbcd76e1324ab80198245120e0/laya_multilingual_e8_L128_options32.mlmodelc/coremldata.bin
- Command line
-
hf download hf://FluidInference/laya-coreml@de76e2e0eb03d7cbcd76e1324ab80198245120e0/laya_multilingual_e8_L128_options32.mlmodelc/coremldata.bin
-
curl -L -o coremldata.bin https://huggingface.co/FluidInference/laya-coreml/resolve/de76e2e0eb03d7cbcd76e1324ab80198245120e0/laya_multilingual_e8_L128_options32.mlmodelc/coremldata.bin
1.12 kB
- Xet hash:
- c1bd8354426b288ff66f15b852d1fc60442c9d81c194a66fbc1f99a796738d41
- Size of remote file:
- 1.12 kB
- SHA256:
- 4fb10774cd0860881220a37c80b416f465e3a9b5636f83c740647bafc14fbce5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.