Instructions to use LieUr/tensorized-bert-rte-archive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LieUr/tensorized-bert-rte-archive with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LieUr/tensorized-bert-rte-archive", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Archive converted RTE export
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Archive RTE Lightning checkpoint
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Archive only-LR FP16 export
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Archive non-only-LR FP16 export
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Archive only-LR training snapshot
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Archive non-only-LR training snapshot
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Add artifact checksums
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Add archive model card
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initial commit
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