We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Find a way of using SBERT for label prediction without using cosine similarity - i.e Find another mapping function from sentence embedding to label
The text was updated successfully, but these errors were encountered:
Test SBERT as a classification method besides embeddings
Sorry, something went wrong.
See comments for guidance in Cross-Encoders in: UKPLab/sentence-transformers#350 (comment)
Will be continued at #74
jordiplanescutxi
thefirebanks
No branches or pull requests
Find a way of using SBERT for label prediction without using cosine similarity - i.e Find another mapping function from sentence embedding to label
The text was updated successfully, but these errors were encountered: