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
Card: every comparison against nomic-ai/CodeRankEmbed; plain wording; citation fixed
#2
by handwoven8588 - opened
No description provided.
Merge: card with long-format tables against nomic-ai/CodeRankEmbed
handwoven8588 changed pull request status to merged