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:
- 8c3b4ca2f44eea827c041593f25c670a52c3fd0cc5e6f5475561145eb7d5fb29
- Size of remote file:
- 7.01 kB
- SHA256:
- 9a778257877f32821a865b771dc3a522f2fadafab3bc0df2a8d605ac4ee68e7f
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