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conservationxlabs
/
miewid-msv3

Feature Extraction
Transformers
Safetensors
miewid
custom_code
Model card Files Files and versions
xet
Community
2

Instructions to use conservationxlabs/miewid-msv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use conservationxlabs/miewid-msv3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="conservationxlabs/miewid-msv3", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("conservationxlabs/miewid-msv3", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
miewid-msv3
206 MB
Ctrl+K
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  • 2 contributors
History: 9 commits
holmbergiusCXL's picture
holmbergiusCXL
Update README.md
4f1d7f2 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    7.68 kB
    Update README.md over 1 year ago
  • config.json
    528 Bytes
    Upload MiewIdNet over 1 year ago
  • configuration_miewid.py
    777 Bytes
    Upload MiewIdNet over 1 year ago
  • heads.py
    6.66 kB
    Upload MiewIdNet over 1 year ago
  • model.safetensors
    206 MB
    xet
    Upload MiewIdNet over 1 year ago
  • modeling_miewid.py
    5.34 kB
    Upload MiewIdNet over 1 year ago