Instructions to use Corran/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Corran/test with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Corran/test") 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 Corran/test with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("Corran/test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a07c753cd78c11ae913770a108d808903189b4b2e7c1229f0dc13659a8138dd
- Size of remote file:
- 2.13 GB
- SHA256:
- 59be85921f9e82611a524e92bd8e270d5bf753639df6d3376b8192dfab00e42b
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