Instructions to use dss107/mp_base3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dss107/mp_base3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dss107/mp_base3") 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 dss107/mp_base3 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("dss107/mp_base3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6c6e3db4d082fd334b611138f30ead88d97cde272059bd7531ab689ad439d67
- Size of remote file:
- 7.15 kB
- SHA256:
- 19bcdd6a736ab931b5393a5e8fd424b3a1666a62be6510c32bc9c6755f449a7b
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