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Salesforce
/
SFR-Embedding-Code-400M_R

Feature Extraction
sentence-transformers
ONNX
Safetensors
Transformers
new
code
retrieval
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community
3

Instructions to use Salesforce/SFR-Embedding-Code-400M_R with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Salesforce/SFR-Embedding-Code-400M_R with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Salesforce/SFR-Embedding-Code-400M_R", 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]
  • Transformers

    How to use Salesforce/SFR-Embedding-Code-400M_R with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Salesforce/SFR-Embedding-Code-400M_R", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Salesforce/SFR-Embedding-Code-400M_R", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SFR-Embedding-Code-400M_R / 1_Pooling
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
yeliu918's picture
yeliu918
update pooling for ST
df6c59b over 1 year ago
  • config.json
    297 Bytes
    update pooling for ST over 1 year ago