Instructions to use YakovElm/IntelDAOS15SetFitModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use YakovElm/IntelDAOS15SetFitModel with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("YakovElm/IntelDAOS15SetFitModel") 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/IntelDAOS15SetFitModel with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("YakovElm/IntelDAOS15SetFitModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1aa7d579caec79e5fd3bd0ec4d617a3be66aeac7c1751946fd117720caee445c
- Size of remote file:
- 438 MB
- SHA256:
- 776781962602726d412dbf2adcb9e7259b76d8df8149da1e72711a93499e029c
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