Instructions to use litert-community/LFM2.5-Encoder-350M-Spellchecker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/LFM2.5-Encoder-350M-Spellchecker with LiteRT:
# 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
Rank-4 repeat_kv re-export: full mobile-GPU delegation (bitwise-identical CPU outputs)
158a46f verified - Xet hash:
- 9852fc16f8c333cde367c5a5f5f635ff1bdaa3b2a00e4475544c222ad9eb0ac3
- Size of remote file:
- 429 MB
- SHA256:
- 4915507e724c2343d93e38e12050755928058e2bfd3de924ffef59ed10277db8
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