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nomic-ai
/
nomic-embed-vision-v1.5

Image Feature Extraction
Transformers
ONNX
Safetensors
English
nomic_bert
feature-extraction
custom_code
Model card Files Files and versions
xet
Community
10

Instructions to use nomic-ai/nomic-embed-vision-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nomic-ai/nomic-embed-vision-v1.5 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="nomic-ai/nomic-embed-vision-v1.5", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("nomic-ai/nomic-embed-vision-v1.5", trust_remote_code=True)
    model = AutoModel.from_pretrained("nomic-ai/nomic-embed-vision-v1.5", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Integrate with Sentence Transformers v5.4

2
#10 opened 4 months ago by
tomaarsen

The example python code just doesn't work anymore?

1
#9 opened 7 months ago by
TheoryOfMadness

onnx weight not work when using nodejs with @xenova/transformers 2.x

#4 opened about 2 years ago by
wujohns
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