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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
5.87 GB
Ctrl+K
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  • 3 contributors
History: 8 commits
yliu279's picture
yliu279
Xenova's picture
Xenova HF Staff
Upload ONNX weights (#1)
cb950dc verified over 1 year ago
  • 1_Pooling
    update pooling for ST over 1 year ago
  • onnx
    Upload ONNX weights (#1) over 1 year ago
  • .DS_Store
    6.15 kB
    update pooling for ST over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.23 kB
    Fix Sentence Transformers integration; currently uses mean pooling accidentally (#3) over 1 year ago
  • config.json
    1.58 kB
    add model and tokenizer over 1 year ago
  • configuration.py
    7.13 kB
    add model and tokenizer over 1 year ago
  • model.safetensors
    868 MB
    xet
    add model and tokenizer over 1 year ago
  • modules.json
    229 Bytes
    Fix Sentence Transformers integration; currently uses mean pooling accidentally (#3) over 1 year ago
  • sentence_bert_config.json
    54 Bytes
    Fix Sentence Transformers integration; currently uses mean pooling accidentally (#3) over 1 year ago
  • special_tokens_map.json
    833 Bytes
    add model and tokenizer over 1 year ago
  • tokenizer.json
    712 kB
    add model and tokenizer over 1 year ago
  • tokenizer_config.json
    1.41 kB
    add model and tokenizer over 1 year ago
  • vocab.txt
    232 kB
    add model and tokenizer over 1 year ago