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:
- 060da776ae7d65a009817d0e6938aa6c976bd35b171de3c205104d634b02c873
- Size of remote file:
- 7.15 kB
- SHA256:
- 222ecf80efc3a01bf9e74aabcff175dafff10bc134ea3e0d757436839fad868e
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