Instructions to use YakovElm/Jira20SetFitModel_balance_ratio_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use YakovElm/Jira20SetFitModel_balance_ratio_3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("YakovElm/Jira20SetFitModel_balance_ratio_3") 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 YakovElm/Jira20SetFitModel_balance_ratio_3 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("YakovElm/Jira20SetFitModel_balance_ratio_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fe3a3921e27e2595b770a9b99b65e84319bd5254b4491c63c7e6b0e4a65fb6c
- Size of remote file:
- 438 MB
- SHA256:
- 6eeb41e274ebd10e195b0b9065169ff0069862111ff9fb831cd9b033252c9d92
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