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quora-roberta-base
navteca/quora-roberta-base
quora-roberta-base is a text classification model from navteca. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
This model was trained using SentenceTransformers Cross-Encoder class.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Mar 25, 2021
- SHA
- 0919bfda
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Datasets
Model card
From the Hugging Face model README
Cross-Encoder for Quora Duplicate Questions Detection
This model was trained using SentenceTransformers Cross-Encoder class.
This model uses roberta-base.
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
The trained model 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')])
print(scores)
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- Mar 25, 2021