Instructions to use AISE-TUDelft/extended-java-usage-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-usage-classifier with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("AISE-TUDelft/extended-java-usage-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-usage-classifier with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("AISE-TUDelft/extended-java-usage-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c90c3dc14958f92ebfadb325faa815a028d7802efa9460700211eb249d016ee3
- Size of remote file:
- 438 MB
- SHA256:
- e30eed9378d01d7e325629c032e1192bec78bce76613e4fc89b82cf500fd4267
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