Instructions to use dss107/mp_base4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dss107/mp_base4 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dss107/mp_base4") 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_base4 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("dss107/mp_base4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04e18ca5bbfd1fb051eaf6d1bdab4bb4a1ca5e329590b15f4731e860479230d1
- Size of remote file:
- 438 MB
- SHA256:
- cb431cf37bf80e66bea2bd5155743f55f6315fd52373b02d65bbd36dfd9715d7
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