Instructions to use bpHigh/Setfit-FakeNews-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use bpHigh/Setfit-FakeNews-en with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("bpHigh/Setfit-FakeNews-en") 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 bpHigh/Setfit-FakeNews-en with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("bpHigh/Setfit-FakeNews-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d236f3e6b74047640919020764da36f55f40103ef90c57998230b90c9ee0de0
- Size of remote file:
- 90.9 MB
- SHA256:
- 03986264e5d5e3844e96510d4a0a693e1d2f75f2626c1579f5d1f36a93ab05c0
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