Instructions to use nomic-ai/CodeRankEmbed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use nomic-ai/CodeRankEmbed with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nomic-ai/CodeRankEmbed", 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
Add license
Browse files
README.md
CHANGED
|
@@ -2,6 +2,7 @@
|
|
| 2 |
base_model:
|
| 3 |
- Snowflake/snowflake-arctic-embed-m-long
|
| 4 |
library_name: sentence-transformers
|
|
|
|
| 5 |
---
|
| 6 |
|
| 7 |
|
|
|
|
| 2 |
base_model:
|
| 3 |
- Snowflake/snowflake-arctic-embed-m-long
|
| 4 |
library_name: sentence-transformers
|
| 5 |
+
license: mit
|
| 6 |
---
|
| 7 |
|
| 8 |
|