Feature Extraction
sentence-transformers
PyTorch
Core ML
ONNX
Safetensors
English
bert
sentence-similarity
mteb
custom_code
Eval Results (legacy)
text-embeddings-inference
Instructions to use jinaai/jina-embeddings-v2-small-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use jinaai/jina-embeddings-v2-small-en with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jinaai/jina-embeddings-v2-small-en", 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
Add sentence_transformers files
#10
by Jackmin108 - opened
No description provided.
This will work but cause a "yes/no" prompt to be triggered whenever the model is loaded.
To disable the prompt a source install of sentence_transformers is required.
You can install sentence_transformers from source using:
git clone git@github.com:UKPLab/sentence-transformers.git
pip install 'sentence-transformers/'
If the source install is difficult for your use case, consider installing text-transformers instead.
I have set it up currently to be a drop in replacement for sentence_transformers.
pip install text-transformers
You will then be able to load the model without the "yes/no" prompt
from sentence_transformers import SentenceTransformer
model = SentenceTransformer('jinaai/jina-embeddings-v2-small-en')
Jackmin108 changed pull request status to open
Jackmin108 changed pull request status to merged