Token Classification
LiteRT
LiteRT
on-device
edge
encoder
policy
compliance
zero-shot
liquid
lfm2
lfm2.5
Instructions to use litert-community/LFM2.5-Encoder-350M-Policy-Linter 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-Policy-Linter 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-Policy-Linter LiteRT: int8 (iPhone-verified bit-exact) + fp16, task-level parity verified
ad40157 verified Download tokenizer.json from litert-community/LFM2.5-Encoder-350M-Policy-Linter: direct link, hf CLI and curl.
- Browser
- Download file 4.73 MB
-
https://huggingface.co/litert-community/LFM2.5-Encoder-350M-Policy-Linter/resolve/main/tokenizer.json
- Command line
-
hf download hf://litert-community/LFM2.5-Encoder-350M-Policy-Linter/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/litert-community/LFM2.5-Encoder-350M-Policy-Linter/resolve/main/tokenizer.json
4.73 MB
File too large to display, you can check the raw version instead.