Feature Extraction
sentence-transformers
Safetensors
English
code
roberta
python
javascript
go
java
ruby
php
code-search
code-embeddings
multilingual
matryoshka
unixcoder
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use divakantpandey/code-embed-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use divakantpandey/code-embed-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("divakantpandey/code-embed-v2") 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
docs: sort model-index and scorecard with lower ranks first (Rank #3 on CoREB, #8 on CoIR, #9 on MTEB Code)
Browse files
README.md
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model-index:
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- name: code-embed-v2
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results:
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- task:
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type: retrieval
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name: MTEB(Code, v1)
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dataset:
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name: MTEB(Code, v1) Macro-Average
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type: mteb/code
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metrics:
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- type: ndcg_at_10
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value: 0.5475
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name: NDCG@10 (meanTask)
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- task:
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type: retrieval
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name: CoIR
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dataset:
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name: CoIR Macro-Average
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type: mteb/coir
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metrics:
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- type: ndcg_at_10
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value: 0.5343
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name: NDCG@10 (meanTask)
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- task:
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type: reranking
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name: CoREB(v1)
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dataset:
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name: CoREB(v1) Macro-Average
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type: mteb/coreb
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metrics:
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- type: main_score
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value: 0.4362
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name: Main Score (
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- type: reranking_mean
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value: 0.4894
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name: Reranking Mean
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- type: map
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value: 0.4205
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name: MAP (Rank #3 Worldwide)
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- task:
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type: reranking
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name: Code-to-Text Reranking
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model-index:
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- name: code-embed-v2
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results:
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- task:
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type: reranking
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name: CoREB(v1)
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dataset:
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name: CoREB(v1) Macro-Average (Rank #3 in <=160M Class)
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type: mteb/coreb
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metrics:
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- type: main_score
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value: 0.4362
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name: Main Score (Rank #3 in <=160M Class)
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- type: reranking_mean
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value: 0.4894
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name: Reranking Mean
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- type: map
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value: 0.4205
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name: MAP (Rank #3 Worldwide)
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- task:
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type: retrieval
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name: CoIR
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dataset:
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name: CoIR Macro-Average (Rank #8 in <=141M Class)
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type: mteb/coir
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metrics:
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- type: ndcg_at_10
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value: 0.5343
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name: NDCG@10 (Rank #8 in <=141M Class)
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- task:
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type: retrieval
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name: MTEB(Code, v1)
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dataset:
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name: MTEB(Code, v1) Macro-Average (Rank #9 in <=141M Class)
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type: mteb/code
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metrics:
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- type: ndcg_at_10
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value: 0.5475
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name: NDCG@10 (Rank #9 in <=141M Class)
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- task:
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type: reranking
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name: Code-to-Text Reranking
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