Feature Extraction
Model2Vec
Safetensors
sentence-transformers
embeddings
static-embeddings
sentence-similarity
Instructions to use CISCai/jina-embeddings-v3-query-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use CISCai/jina-embeddings-v3-query-distilled with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("CISCai/jina-embeddings-v3-query-distilled") - sentence-transformers
How to use CISCai/jina-embeddings-v3-query-distilled with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("CISCai/jina-embeddings-v3-query-distilled") 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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