Instructions to use YakovElm/IntelDAOS20SetFitModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use YakovElm/IntelDAOS20SetFitModel with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("YakovElm/IntelDAOS20SetFitModel") 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/IntelDAOS20SetFitModel with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("YakovElm/IntelDAOS20SetFitModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d0b8016f01a2aa9275ced43cddddd458a2c5bb10d9ef4748bda7421424116d5
- Size of remote file:
- 438 MB
- SHA256:
- 2388e457b9349eb99f696c9b590eb5865536de5b65f8a2e0bdffdce72b6fdeb0
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