Instructions to use muvon/octomind-embed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use muvon/octomind-embed with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("muvon/octomind-embed") 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
| { | |
| "embedding_dimension": 384, | |
| "pooling_mode": "cls", | |
| "include_prompt": true | |
| } |