Instructions to use nomic-ai/CodeRankEmbed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use nomic-ai/CodeRankEmbed with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nomic-ai/CodeRankEmbed", 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
File size: 140 Bytes
448915c | 1 2 3 4 5 6 7 8 | {
"max_seq_length": 8192,
"do_lower_case": false,
"model_args": {
"add_pooling_layer": false,
"safe_serialization": true
}
} |