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
File size: 1,001 Bytes
ef55d6f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | # Notices
## This repository
Core ML conversion of the laya-multilingual decision model, by Fluid Inference.
Licensed under the Apache License, Version 2.0; see `LICENSE`.
## Upstream model and code
The converted weights and the reference implementation are the work of
Convai Innovations and contributors, used under the Apache License, Version 2.0.
- Weights: [`convaiinnovations/laya`](https://huggingface.co/convaiinnovations/laya),
subfolder `multilingual`, revision `1c5edc17a7acd8701df6fc341c0d179f1c62c982`.
- Reference implementation: [`NandhaKishorM/laya`](https://github.com/NandhaKishorM/laya).
The encoder is [`jhu-clsp/mmBERT-base`](https://huggingface.co/jhu-clsp/mmBERT-base),
and `tokenizer.json` carries its vocabulary, redistributed under that model's terms.
No weights were retrained. The conversion changes tensor precision and fixes input
shapes; the parameters are the upstream ones. This is an independent conversion and
is not an official Convai Innovations release.
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