Sentence Similarity
sentence-transformers
Safetensors
English
modernbert
feature-extraction
Eval Results (legacy)
text-embeddings-inference
Instructions to use Shuu12121/CodeSearch-ModernBERT-Owl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Shuu12121/CodeSearch-ModernBERT-Owl with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Shuu12121/CodeSearch-ModernBERT-Owl") 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -24,7 +24,7 @@ model-index:
|
|
| 24 |
- type: spearman_cosine
|
| 25 |
value: null
|
| 26 |
name: Spearman Cosine
|
| 27 |
-
license:
|
| 28 |
datasets:
|
| 29 |
- code-search-net/code_search_net
|
| 30 |
- Shuu12121/java-codesearch-dataset-open
|
|
|
|
| 24 |
- type: spearman_cosine
|
| 25 |
value: null
|
| 26 |
name: Spearman Cosine
|
| 27 |
+
license: apache-2.0
|
| 28 |
datasets:
|
| 29 |
- code-search-net/code_search_net
|
| 30 |
- Shuu12121/java-codesearch-dataset-open
|