Sentence Similarity
sentence-transformers
ONNX
Safetensors
English
code
modernbert
feature-extraction
code-search
code-retrieval
bug-localization
Eval Results (legacy)
text-embeddings-inference
Instructions to use vedevpatel/CodeIntel-150M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use vedevpatel/CodeIntel-150M with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("vedevpatel/CodeIntel-150M") 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
Download config_sentence_transformers.json from vedevpatel/CodeIntel-150M: direct link, hf CLI and curl.
- Browser
- Download file 124 Bytes
-
https://huggingface.co/vedevpatel/CodeIntel-150M/resolve/main/config_sentence_transformers.json
- Command line
-
hf download hf://vedevpatel/CodeIntel-150M/config_sentence_transformers.json
-
curl -L -o config_sentence_transformers.json https://huggingface.co/vedevpatel/CodeIntel-150M/resolve/main/config_sentence_transformers.json
124 Bytes
| { | |
| "prompts": { | |
| "query": "", | |
| "document": "" | |
| }, | |
| "default_prompt_name": null, | |
| "similarity_fn_name": "cosine" | |
| } | |