Instructions to use dss107/new_mp_base8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dss107/new_mp_base8 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dss107/new_mp_base8") 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/new_mp_base8 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("dss107/new_mp_base8") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bcc1abcfb8b2edeea29cdb8921fd46b3faddb404f753303f454293793667479a
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size 711440320
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