Instructions to use dss107/mp_base2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dss107/mp_base2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dss107/mp_base2") 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_base2 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("dss107/mp_base2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f545fbce8dbec93c5f9988fd1cc840d4e79e96365136d4060fcc0f6a56726d9c
- Size of remote file:
- 438 MB
- SHA256:
- 249608bcc667ca52f374010dfdae63e10ff2b53c74b6aa5107df17a5ebd48164
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