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stance-twitter-xlm-target-oblivious
GateNLP/stance-twitter-xlm-target-oblivious
stance-twitter-xlm-target-oblivious is a text classification model from GateNLP. Use it when you need a label for a piece of text. It is set up for transformers.
A rumour stance classification model, intended to classify the stance of a "reply" post with respect to the post to which it is replying. This is a target oblivious model, i.e. it considers only the reply itself, not…
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Nov 14, 2024
- Updated
- Nov 14, 2024
- SHA
- aa944e4d
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Model card
From the Hugging Face model README
Model Card for Model ID
A rumour stance classification model, intended to classify the stance of a "reply" post with respect to the post to which it is replying. This is a target oblivious model, i.e. it considers only the reply itself, not the original target post. It is the model underlying the GATE Cloud Target Oblivious Stance Classifier.
For background, see this paper.
Note about languages
This model is fine-tuned from a multilingual base model (cardiffnlp/twitter-xlm-roberta-base), however the fine-tuning data is English-only.
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- Languages
- en
- Created
- Nov 14, 2024
- Updated
- Nov 14, 2024