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deberta-v3-large-tweet-fid-EMD
auro736/deberta-v3-large-tweet-fid-EMD
deberta-v3-large-tweet-fid-EMD is a token classification model from auro736. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
This is a DeBERTa-large model trained on the Tweet-FID dataset ("TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection Tasks", Ruofan Hu et al, 2022 ) which is a collection of Twitter to detect inci…
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Oct 30, 2023
- Updated
- Jan 14, 2024
- SHA
- 0053bbad
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Model card
From the Hugging Face model README
DeBERTa-large-tweet-fid-EMD
This is a DeBERTa-large model trained on the Tweet-FID dataset ("TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection Tasks", Ruofan Hu et al, 2022 ) which is a collection of Twitter to detect incidents of foodborne illnesses.
The model is enriched with a multi class classification head to perform the custom task called Entity Mention Detection (EMD). The objective is to determine predefined entities (food, location, symptom, other) in a given text related to a food risk
- Task
- Token Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Languages
- en
- Created
- Oct 30, 2023
- Updated
- Jan 14, 2024