Instructions to use qBob/BART_corrector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qBob/BART_corrector with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("qBob/BART_corrector") model = AutoModelForSeq2SeqLM.from_pretrained("qBob/BART_corrector") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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The goal of this model is to correct a sentence, given several versions of it with various mistakes.
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Text sample :
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## Training and evaluation data
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The goal of this model is to correct a sentence, given several versions of it with various mistakes.
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Text sample :
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_TheIdeSbgn of thh Eiffel Toweg is aYtribeted to Ma. . ahd design of The Eijfel Tower is attribQtedBto ta. . The designYof the EifZel Tower Vs APtWibuteQ to Ma. . The xeQign oC the EiffelXTower ik attributed to Ma. . ghebFesign of theSbiffel TJwer is atMributed to Ma. . The desOBn of thQ Eiffel ToweP isfattributnd toBMa. . The design of the EBfUel Fower is JtAriOuted tx Ma. . The design of Jhe ENffel LoweF is aptrVbuted Lo Ma. . The deslgX of the lPffel Towermis attributedhtohMa. . The desRgn of thekSuffel Tower is Ttkribufed to Ma. ._
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## Training and evaluation data
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