Instructions to use textattack/facebook-bart-base-glue-RTE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/facebook-bart-base-glue-RTE with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("textattack/facebook-bart-base-glue-RTE") model = AutoModelForSeq2SeqLM.from_pretrained("textattack/facebook-bart-base-glue-RTE") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:2c603be6a9cf1e108525fa7ab13d239ab7223d36c955b1daef15e3e3bc80a57e
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size 560109070
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