Sentence Similarity
Safetensors
GGUF
sentence-transformers
multilingual
llama.cpp
eurobert
embedding
llama-cpp
jina-embeddings-v5
feature-extraction
mteb
vllm
custom_code
Instructions to use noname002/jina-embeddings-v5-text-nano-retrieval-mc4-3fre-tf-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use noname002/jina-embeddings-v5-text-nano-retrieval-mc4-3fre-tf-v5 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("noname002/jina-embeddings-v5-text-nano-retrieval-mc4-3fre-tf-v5", 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
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