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:
- 0caa1bcdd0140e1f338e7857dfcce9c63963e39fa4721dd1c0a0c2f974baf4ba
- Size of remote file:
- 7.15 kB
- SHA256:
- 7482af1495e0eb953e663b3da5066530f31186986b2d80c7509df969302113ce
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