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:
- 07643060089f8d464a17b84ea360bb9ee8903d45d0586b51b5349477c17d4b10
- Size of remote file:
- 438 MB
- SHA256:
- 1ba49fc698d421bb84a88d022dcb4223ed575d9566801cb880f098c40a2ab751
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