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_fp16_L256_options32.mlmodelc/weights/weight.bin from FluidInference/laya-coreml: direct link, hf CLI and curl.
- Browser
- Download file 644 MB
-
https://huggingface.co/FluidInference/laya-coreml/resolve/main/laya_multilingual_fp16_L256_options32.mlmodelc/weights/weight.bin
- Command line
-
hf download hf://FluidInference/laya-coreml/laya_multilingual_fp16_L256_options32.mlmodelc/weights/weight.bin
-
curl -L -o weight.bin https://huggingface.co/FluidInference/laya-coreml/resolve/main/laya_multilingual_fp16_L256_options32.mlmodelc/weights/weight.bin
644 MB
- Xet hash:
- 0c5a07801cd446bba05f3583180b0e5c11bc1652ef827e1bc86f338e76d230d3
- Size of remote file:
- 644 MB
- SHA256:
- 41e287a96c4260faec5c1d2aa37209666279a69541652ea450879e5853881d73
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.