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Distilroberta-base-QQP
Shobhank-iiitdwd/Distilroberta-base-QQP
Distilroberta-base-QQP is a text classification model from Shobhank-iiitdwd. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
This model was trained on the Quora Duplicate Questions dataset. The model will predict a score between 0 and 1 how likely the two given questions are duplicates.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Dec 29, 2022
- Updated
- Dec 29, 2022
- SHA
- 1c944859
Try a prompt
Model card
From the Hugging Face model README
Training Data
This model was trained on the Quora Duplicate Questions dataset. The model will predict a score between 0 and 1 how likely the two given questions are duplicates.
Note: The model is not suitable to estimate the similarity of questions, e.g. the two questions "How to learn Java" and "How to learn Python" will result in a rahter low score, as these are not duplicates.
Usage and Performance
Pre-trained models can be used like this:
from sentence_transformers import CrossEncoder
model = CrossEncoder('model_name')
scores = model.predict([('Question 1', 'Question 2'), ('Question 3', 'Question 4')])
You can use this model also without sentence_transformers and by just using Transformers AutoModel class
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Dec 29, 2022
- Updated
- Dec 29, 2022