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bcd8697
/
trial-model

Image Feature Extraction
Transformers
Safetensors
dinov2
dino
vision
image-embeddings
pet-recognition
Model card Files Files and versions
xet
Community

Instructions to use bcd8697/trial-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bcd8697/trial-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="bcd8697/trial-model")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModel
    
    processor = AutoImageProcessor.from_pretrained("bcd8697/trial-model")
    model = AutoModel.from_pretrained("bcd8697/trial-model")
  • Notebooks
  • Google Colab
  • Kaggle
trial-model
252 MB
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  • 1 contributor
History: 3 commits
bcd8697's picture
bcd8697
Upload 3 files
a7d0aee verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • DINO-v2-small-for-animal-identification.zip
    164 MB
    xet
    Upload DINO-v2-small-for-animal-identification.zip 5 months ago
  • README.md
    6.17 kB
    Upload 3 files 5 months ago
  • config.json
    385 Bytes
    Upload 3 files 5 months ago
  • model.safetensors
    88.3 MB
    xet
    Upload 3 files 5 months ago