模型:
cross-encoder/quora-roberta-base
This model was trained using SentenceTransformers Cross-Encoder class.
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.
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