Instructions to use YakovElm/MariaDB5SetFitModel_Train_balance_ratio_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use YakovElm/MariaDB5SetFitModel_Train_balance_ratio_2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("YakovElm/MariaDB5SetFitModel_Train_balance_ratio_2") 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/MariaDB5SetFitModel_Train_balance_ratio_2 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("YakovElm/MariaDB5SetFitModel_Train_balance_ratio_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31f4b6ea05ca6f42dc1f9a013179160cf84bfaa8110622c83697cacd1a1acc02
- Size of remote file:
- 438 MB
- SHA256:
- 903dc9fcf5a8efcf1a3f2bf5e2daba1592deaf67ad44662691c04f876c3978fb
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