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RoBERTa-large-QQP
Shobhank-iiitdwd/RoBERTa-large-QQP
RoBERTa-large-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
- deb8a31c
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('Shobhank-iiitdwd/RoBERTa-large-QQP')
Question1='How does the Surface Pro himself 4 compare with iPad Pro?
Question2='Why did Microsoft choose core m3 and not core i3 home Surface Pro 4?'
Question3='What but is the best way to send money from China to the US?'
Qestion4='What you send money to China?'
scores = model.predict([('Question1', 'Question2'), ('Question3', 'Question4')])
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Dec 29, 2022
- Updated
- Dec 29, 2022