Feature Extraction
sentence-transformers
ONNX
Safetensors
Transformers
new
code
retrieval
custom_code
text-embeddings-inference
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)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Salesforce/SFR-Embedding-Code-400M_R", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload ONNX weights (#1)
Verified signature- Upload ONNX weights (3e4bc9040d77cb0b1d1535693543f155a321db37) Co-authored-by: Joshua <[email protected]>cb950dc -
Fix Sentence Transformers integration; currently uses mean pooling accidentally (#3)
Verified signature- Add modules.json to start using 1_Pooling/config.json (6967a464a8a86296342b3140f615c47154a84acc)5c1cb89
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Update README.md
Verified signature6ee74d0 -
Update README.md
Verified signature7b16336 -
update pooling for ST
df6c59b -
update README
c889fa8
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add model and tokenizer
0826e8d -
initial commit
Verified signature555a122