Sentence Similarity
sentence-transformers
PyTorch
mpnet
feature-extraction
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use consciousAI/cai-stellaris-text-embeddings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use consciousAI/cai-stellaris-text-embeddings with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("consciousAI/cai-stellaris-text-embeddings") 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:
- e94d4aa6084aaaa4e90cd277d5d30240e29bf64ce71b429762f96dc333e60b75
- Size of remote file:
- 211 MB
- SHA256:
- f6366f25d0260bb5245a595cc2024443cdc6c140a09eb4a21ca2733dd61cd245
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