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
LFM2.5-Encoder-350M-Spellchecker LiteRT: int8 (iPhone-verified bit-exact) + fp16, task-level parity verified
c4b5ad0 verified - Xet hash:
- ae9445f062d6e9f2daf52c6e28d0f67adee63a07a04ad691b0364fdaf4f55754
- Size of remote file:
- 428 MB
- SHA256:
- 25e30f1b0799aef1177c63c9a9cd2cb4266f1bfca8cab59740fc6f11a4814b23
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