jeremyarancio
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app.py
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@@ -37,7 +37,7 @@ However, it often happens the information extracted by OCR contains typos and er
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To solve this problem, we developed an π **Ingredient Spellcheck** π, a model capable of correcting typos in a list of ingredients following a defined guideline.
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The model, based on Mistral-7B-v0.3, was fine-tuned on thousand of corrected lists of ingredients extracted from the database. More information in the model card.
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## π Links
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To solve this problem, we developed an π **Ingredient Spellcheck** π, a model capable of correcting typos in a list of ingredients following a defined guideline.
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The model, based on Mistral-7B-v0.3, was fine-tuned on thousand of corrected lists of ingredients extracted from the database. More information in the model card.
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### *Project in progress* ποΈ
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## π Links
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