Instructions to use sangmini/msmarco-cotmae-MiniLM-L12_en-ko-ja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sangmini/msmarco-cotmae-MiniLM-L12_en-ko-ja with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sangmini/msmarco-cotmae-MiniLM-L12_en-ko-ja") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25332af96498dc845c38aebc261436b847f4606ff7f436e6e184359e44f1089e
- Size of remote file:
- 471 MB
- SHA256:
- e06f80685fbda0f9a023647c6f740c78d72d48954c3bf6b27cdc082d29448386
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