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text-generation mask_token: <mask>
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textattack/facebook-bart-base-RTE textattack/facebook-bart-base-RTE
49 downloads
last 30 days

pytorch

tf

Contributed by

TextAttack
3 team members · 84 models

How to use this model directly from the 🤗/transformers library:

			
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("textattack/facebook-bart-base-RTE") model = AutoModelForSeq2SeqLM.from_pretrained("textattack/facebook-bart-base-RTE")
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TextAttack Model CardSince this was a classification task, the model was trained with a cross-entropy loss function.

The best score the model achieved on this task was 0.7256317689530686, as measured by the eval set accuracy, found after 4 epochs.

For more information, check out TextAttack on Github.