Instructions to use YakovElm/MariaDB20SetFitModel_balance_ratio_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use YakovElm/MariaDB20SetFitModel_balance_ratio_2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("YakovElm/MariaDB20SetFitModel_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/MariaDB20SetFitModel_balance_ratio_2 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("YakovElm/MariaDB20SetFitModel_balance_ratio_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f75692eb84fef70de6b968674b8c44f49da0f4f8db44cd7bbe782779a22ecf88
- Size of remote file:
- 438 MB
- SHA256:
- e24c96f73fd0a28b80d0a9f48b3afab31825fdd2ed841fc272bc824305cb8b0e
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