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cross-encoder-distilbert-it
efederici/cross-encoder-distilbert-it
cross-encoder-distilbert-it is a text classification model from efederici. 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.
The model can be used for Information Retrieval: given a query, encode the query will all possible passages. Then sort the passages in a decreasing order.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Apr 28, 2022
- Updated
- Jun 22, 2023
- SHA
- 42181e00
Try a prompt
Model card
From the Hugging Face model README
Cross-Encoder
The model can be used for Information Retrieval: given a query, encode the query will all possible passages. Then sort the passages in a decreasing order.
<p align="center"> <img src="https://www.exibart.com/repository/media/2020/07/bridget-riley-cool-edge.jpg" width="400"> </br> Bridget Riley, COOL EDGE </p>Training Data
This model was trained on a custom biomedical ranking dataset.
Usage and Performance
from sentence_transformers import CrossEncoder
model = CrossEncoder('efederici/cross-encoder-distilbert-it')
scores = model.predict([('Sentence 1', 'Sentence 2'), ('Sentence 3', 'Sentence 4')])
The model will predict scores for the pairs ('Sentence 1', 'Sentence 2') and ('Sentence 3', 'Sentence 4').
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Languages
- it
- Created
- Apr 28, 2022
- Updated
- Jun 22, 2023