Instructions to use Sanjay1234/project-dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Sanjay1234/project-dataset with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Sanjay1234/project-dataset") 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 Sanjay1234/project-dataset with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("Sanjay1234/project-dataset") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 053715a83034a5f15ad5288ff5bb23f4f9e6de10f9295acd6dcda0e3ec4f6886
- Size of remote file:
- 19.3 kB
- SHA256:
- fa698c5ae1276532c6de003d88e9310d8bbcc1d9a6b4573fe483a2f7c49ae7c9
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