sentence-transformers
Safetensors
English
nomic_bert
flash-attention
code-retrieval
nomic-bert
bf16
custom_code
Instructions to use handwoven8588/CodeRankEmbed-flash-attn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use handwoven8588/CodeRankEmbed-flash-attn with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("handwoven8588/CodeRankEmbed-flash-attn", 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] - Notebooks
- Google Colab
- Kaggle
Commit History
28 days ago
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Padding-free encoder, flattening opt-in, torch.compile recipe; card measured on public corpora (#1)
- Padding-free encoder, flattening opt-in, torch.compile recipe; card measured on public corpora (ee5869f4dc3a6e83f1fd16ba667b4bb9ce8078da) - Card: three charts, full tables folded; trim two Behavior bullets (6aca1e607a6d624dbaa56ef6a9c7fc66213749d7) - Card: cut the charts; three compact tables (3984746057bf343176c6f31fbd66047057bb018e)540e0bb
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initial commit
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