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:
- 1fa64a7061ba6de2e6ef2c82530c0bb5fd9694805c813f0f7bd76693ef390008
- Size of remote file:
- 438 MB
- SHA256:
- cb7e3e9f5792b8f8a136f5daf20148317a77da8dad33410bc8a493b4a15b4b63
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