Instructions to use andyP/sf-it-aug-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use andyP/sf-it-aug-01 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("andyP/sf-it-aug-01") 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 andyP/sf-it-aug-01 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("andyP/sf-it-aug-01") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96466b9988e0005f578e365c373324b44c759092f443e13fd36b5681d6ab2f15
- Size of remote file:
- 270 MB
- SHA256:
- fc5ce0dc45c32e29b7d495a7589e98e47e73b0756d5760f83ab85eec5f43930e
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