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
Not Working?
#1
by satorean - opened
Hey,
I just tried out this model in combination with https://huggingface.co/CISCai/jina-embeddings-v3-passage-distilled but the embedding spaces seem not to match - have you tried it?
Yes, it does not work, this seems to be a quirk in the model2vec process, see answer 5 here:
https://huggingface.co/CISCai/jina-embeddings-v3-matching-distilled/discussions/1#67c2da42a0da58325cb7a79e