Instructions to use YakovElm/Qt10SetFitModel_Train_balance_ratio_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use YakovElm/Qt10SetFitModel_Train_balance_ratio_1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("YakovElm/Qt10SetFitModel_Train_balance_ratio_1") 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/Qt10SetFitModel_Train_balance_ratio_1 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("YakovElm/Qt10SetFitModel_Train_balance_ratio_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e065db7993951e635aff9c0e9478915f34380e5d9bbeb709856fde16d581389f
- Size of remote file:
- 438 MB
- SHA256:
- 7e6bffb7aba7ad3e74d6ef927ffcaf4b0176c249a8989ab32983eee22f67feed
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