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james-burgess
/
miewid

Feature Extraction
Transformers
ONNX
Safetensors
miewid
wildlife
computer-vision
re-identification
embedding
conservation
efficientnet
wildbook
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use james-burgess/miewid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use james-burgess/miewid with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="james-burgess/miewid", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("james-burgess/miewid", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Could you please confirm if this weight is the same as that of conservationxlabs/miewid-msv3?

1
#1 opened 5 days ago by
skyZone
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