Instructions to use YakovElm/Qt5SetFitModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use YakovElm/Qt5SetFitModel with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("YakovElm/Qt5SetFitModel") 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/Qt5SetFitModel with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("YakovElm/Qt5SetFitModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5057cf6daa5f480f5783a7a8b56625c15bdb4e4509ecf0b95644cfcf667575c0
- Size of remote file:
- 6.99 kB
- SHA256:
- 64130b3dd6e3f44df23d01b08f33ff16f865fe57c87641f2c2ebac6bf3708b97
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