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food-dbert-multiling
Dev-DGT/food-dbert-multiling
food-dbert-multiling is a token classification model from Dev-DGT. Use it when you need labels on individual words, such as names. It is set up for transformers.
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jun 18, 2021
- SHA
- b648054d
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Model card
From the Hugging Face model README
Token classification for FOODs.
Detects foods in sentences.
Currently, only supports spanish. Multiple words foods are detected as one entity.
To-do
- English support.
- Negation support.
- Quantity tags.
- Psychosocial tags.
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- Created
- Mar 2, 2022
- Updated
- Jun 18, 2021