Instructions to use arvisioncode/lilt_ls_re_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arvisioncode/lilt_ls_re_en with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import LiLTRobertaLikeForRelationExtraction model = LiLTRobertaLikeForRelationExtraction.from_pretrained("arvisioncode/lilt_ls_re_en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from arvisioncode/lilt_ls_re_en: direct link, hf CLI and curl.
- Browser
- Download file 1.73 kB
-
https://huggingface.co/arvisioncode/lilt_ls_re_en/resolve/main/trainer_state.json
- Command line
-
hf download hf://arvisioncode/lilt_ls_re_en/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/arvisioncode/lilt_ls_re_en/resolve/main/trainer_state.json
1.73 kB
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