Instructions to use AISE-TUDelft/extended-java-ownership-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-ownership-classifier with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("AISE-TUDelft/extended-java-ownership-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-ownership-classifier with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("AISE-TUDelft/extended-java-ownership-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc8dc000fd78ecfcd5a0fc48ab76fb06d504dfc1bcc605e49bb707285d82f811
- Size of remote file:
- 7.01 kB
- SHA256:
- 02b8aa743b74ce0dd923548644c98cf7d879f633bb460a286f413cc41caf6fc4
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