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distilbert-quality
valurank/distilbert-quality
distilbert-quality 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 distilbert-base-uncased pretrained weights, with a classification head fine-tuned to classify news articles into 3 categories (bad, medium, good).
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- other
- Model type
- distilbert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jun 8, 2022
- SHA
- 983be6cd
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Datasets
Model card
From the Hugging Face model README
DistilBERT fine-tuned for news classification
This model is based on distilbert-base-uncased pretrained weights, with a classification head fine-tuned to classify news articles into 3 categories (bad, medium, good).
Training data
The dataset used to fine-tune the model is news-small, the 300 article news dataset manually annotated by Alex.
Inputs
Similar to its base model, this model accepts inputs with a maximum length of 512 tokens.
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- other
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- Jun 8, 2022