Feature Extraction
Transformers
PyTorch
ONNX
Safetensors
sentence-transformers
sentence-similarity
mteb
custom_code
Eval Results (legacy)
Eval Results
🇪🇺 Region: EU
Instructions to use jinaai/jina-embeddings-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jinaai/jina-embeddings-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jinaai/jina-embeddings-v3", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jinaai/jina-embeddings-v3", trust_remote_code=True, dtype="auto") - sentence-transformers
How to use jinaai/jina-embeddings-v3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jinaai/jina-embeddings-v3", 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
unexpected keyword argument 'backend' when installing with sentence transformers
#44
by botkop - opened
I'm installing through sentence transformers:model = SentenceTransformer("jinaai/jina-embeddings-v3", trust_remote_code=True)
And this gives me:TypeError: Transformer.__init__() got an unexpected keyword argument 'backend'
sentence-transformers 3.2.0
transformers 4.45.2
Any idea?
Thank you.
Hello!
#45 should fix it. You can use the revision argument to select the PR branch and already take advantage of the fix before it's merged:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer(
"jinaai/jina-embeddings-v3",
trust_remote_code=True,
revision="refs/pr/45",
)
task = "retrieval.query"
embeddings = model.encode(
["What is the weather like in Berlin today?"],
task=task,
prompt_name=task,
)
print(embeddings.shape)
- Tom Aarsen
botkop changed discussion status to closed
Thank you very much.