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:
- 4dd035b0f76d278690693bb3abe8580851e8d4a9bd768eaa35257818acaef4e2
- Size of remote file:
- 438 MB
- SHA256:
- 93af0bb6f5ad608bd0a5692b26e324a74d0ddc4d8fc8a7a10d110de97289a853
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