Instructions to use JoshELambert/markets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use JoshELambert/markets with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("JoshELambert/markets") 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 JoshELambert/markets with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("JoshELambert/markets") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- add7e98bd1d99bd5b120d5bc5cbc9121e56ef71f01acaab1cd8d36811900800c
- Size of remote file:
- 7.12 kB
- SHA256:
- 9b2fd393409a9393fc6c15d891ee2b47be75aa922d737ab29020ae5392af7ec8
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