Instructions to use arvisioncode/lilt_mt_re_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arvisioncode/lilt_mt_re_all with Transformers:
# Load model directly from transformers import LiLTRobertaLikeForRelationExtraction model = LiLTRobertaLikeForRelationExtraction.from_pretrained("arvisioncode/lilt_mt_re_all", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload train_results.json with huggingface_hub
Browse files- train_results.json +6 -0
train_results.json
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{
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"epoch": 191.39,
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"train_runtime": 19555.7785,
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"train_samples": 1665,
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"train_samples_per_second": 2.045
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}
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