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 AutoModelForMultimodalLM model = AutoModelForMultimodalLM.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
Update config.json
#127
by vaidehiBhamare - opened
modal_type
vaidehiBhamare changed pull request status to closed
vaidehiBhamare changed pull request status to open
I cannot run this branch. I receive an error:
{
"timestamp": "2025-09-21T14:53:49.699583Z",
"level": "WARN",
"message": "`modules.json` could be downloaded but parsing the modules failed: unknown variant `custom_st.Transformer`, expected one of `sentence_transformers.models.Dense`, `sentence_transformers.models.Normalize`, `sentence_transformers.models.Pooling`, `sentence_transformers.models.Transformer` at line 6 column 35; so no Dense modules will be downloaded.",
"target": "text_embeddings_backend",
"filename": "backends/src/lib.rs",
"line_number": 737,
"span": {
"name": "download_dense_modules"
},
"spans": [
{
"name": "download_dense_modules"
}
]
}
{
"timestamp": "2025-09-21T14:53:49.699603Z",
"level": "INFO",
"message": "Dense modules downloaded in 386.988361ms",
"target": "text_embeddings_backend",
"filename": "backends/src/lib.rs",
"line_number": 433
}
{
"timestamp": "2025-09-21T14:53:49.699677Z",
"level": "ERROR",
"message": "Could not start Candle backend: Could not start backend: Model is not supported\n\nCaused by:\n unknown variant `rotary`, expected one of `absolute`, `alibi`, `rope`",
"target": "text_embeddings_backend",
"filename": "backends/src/lib.rs",
"line_number": 448
}
do you know the fix?