Instructions to use Corran/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Corran/test2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Corran/test2") 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/test2 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("Corran/test2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da9e2ea30a96a493a4e3c1473347a67e63941d62827d22b4d8b3a145549a070a
- Size of remote file:
- 1.11 GB
- SHA256:
- 86e03facbb848764b5c7bac7bea2b4200b291f15ff5c468c0cb5ae6a484d8f36
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