Instructions to use rsvalerio/nomic-embed-code-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use rsvalerio/nomic-embed-code-coreml with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("rsvalerio/nomic-embed-code-coreml") 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
| { | |
| "fileFormatVersion": "1.0.0", | |
| "itemInfoEntries": { | |
| "120985BA-C5F6-4BB9-83BB-2BBEDD2F38EC": { | |
| "author": "com.apple.CoreML", | |
| "description": "CoreML Model Specification", | |
| "name": "model.mlmodel", | |
| "path": "com.apple.CoreML/model.mlmodel" | |
| }, | |
| "180EE7BE-0F86-474B-83C2-54C189AA7AAF": { | |
| "author": "com.apple.CoreML", | |
| "description": "CoreML Model Weights", | |
| "name": "weights", | |
| "path": "com.apple.CoreML/weights" | |
| } | |
| }, | |
| "rootModelIdentifier": "120985BA-C5F6-4BB9-83BB-2BBEDD2F38EC" | |
| } | |