Feature Extraction
sentence-transformers
Safetensors
Transformers
codexembed2b
code
retrieval
custom_code
Instructions to use Salesforce/SFR-Embedding-Code-2B_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-2B_R with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Salesforce/SFR-Embedding-Code-2B_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-2B_R with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Salesforce/SFR-Embedding-Code-2B_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-2B_R", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Convert git-lfs md, py, json files to normal git files (#8)
Verified signature- Only include tokenizer.json in git-lfs, not *.py, *.md, *.json (8573a0bd77706616957e7d70e76682df1d7dd395)bb1958e
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update
96ee95a -
Update .gitattributes for Git LFS tracking
c4b03b5 -
upload model and tokenizer
9745392 -
initial commit
Unverified signature06e1a63