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tomaarsen
/
nomic-embed-vision-v1.5-st

Image Feature Extraction
Transformers
ONNX
Safetensors
English
nomic_bert
feature-extraction
custom_code
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="tomaarsen/nomic-embed-vision-v1.5-st", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("tomaarsen/nomic-embed-vision-v1.5-st", trust_remote_code=True)
    model = AutoModel.from_pretrained("tomaarsen/nomic-embed-vision-v1.5-st", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
nomic-embed-vision-v1.5-st / onnx
970 MB
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  • 4 contributors
History: 1 commit
zpn's picture
zpn
Upload ONNX weights (#2)
13746ad verified about 2 years ago
  • model.onnx
    374 MB
    xet
    Upload ONNX weights (#2) about 2 years ago
  • model_bnb4.onnx
    56.2 MB
    xet
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  • model_fp16.onnx
    187 MB
    xet
    Upload ONNX weights (#2) about 2 years ago
  • model_int8.onnx
    96.7 MB
    xet
    Upload ONNX weights (#2) about 2 years ago
  • model_q4.onnx
    62 MB
    xet
    Upload ONNX weights (#2) about 2 years ago
  • model_quantized.onnx
    96.7 MB
    xet
    Upload ONNX weights (#2) about 2 years ago
  • model_uint8.onnx
    96.7 MB
    xet
    Upload ONNX weights (#2) about 2 years ago