Instructions to use AISE-TUDelft/extended-java-rational-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use AISE-TUDelft/extended-java-rational-classifier with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("AISE-TUDelft/extended-java-rational-classifier") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - setfit
How to use AISE-TUDelft/extended-java-rational-classifier with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("AISE-TUDelft/extended-java-rational-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bef6a6a897f4d5c63a5204853e10e00678cdea36dec43bcbd35e4659025e3c1c
- Size of remote file:
- 438 MB
- SHA256:
- 17fb554adac46a18a62ac41aa01f7179b5102075edf9839fce966b5b6b6786bf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.