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distilroberta-bias
valurank/distilroberta-bias
distilroberta-bias is a text classification model from valurank. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as other.
This model is based on distilroberta-base pretrained weights, with a classification head fine-tuned to classify text into 2 categories (neutral, biased).
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Repo size
986 MB
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- other
- Model type
- roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jun 8, 2022
- SHA
- c1e4a277
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Datasets
Model card
From the Hugging Face model README
DistilROBERTA fine-tuned for bias detection
This model is based on distilroberta-base pretrained weights, with a classification head fine-tuned to classify text into 2 categories (neutral, biased).
Training data
The dataset used to fine-tune the model is wikirev-bias, extracted from English wikipedia revisions, see https://github.com/rpryzant/neutralizing-bias for details on the WNC wiki edits corpus.
Inputs
Similar to its base model, this model accepts inputs with a maximum length of 512 tokens.
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- other
- Languages
- en
- Hf Inference
- live
- Created
- Mar 2, 2022
- Updated
- Jun 8, 2022