Instructions to use CoDiEmb/CoDi-MiniCPM_sentence_transformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use CoDiEmb/CoDi-MiniCPM_sentence_transformers with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("CoDiEmb/CoDi-MiniCPM_sentence_transformers", trust_remote_code=True) 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
- Xet hash:
- 09a59af53f63a103cc13657bef76e8df5853dfe448fc094ffc67d013a10d3932
- Size of remote file:
- 11.4 MB
- SHA256:
- 4d1d2531389661dd2642a4298c29b652a30b55a542147c3ef7aee6e8d675bef5
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