Instructions to use sumandeng/my-m3e-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sumandeng/my-m3e-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sumandeng/my-m3e-base") 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] - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
752d347 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0a544833c902627231fb568d9a43e2f02c84366042e5596c0459de1526cb0f36
size 409141805
|