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cclaess
/
SPECTRE-Large

Feature Extraction
Transformers
Safetensors
English
spectre
medical-imaging
ct-scan
3d
vision-transformer
self-supervised-learning
foundation-model
radiology
custom_code
Model card Files Files and versions
xet
Community

Instructions to use cclaess/SPECTRE-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cclaess/SPECTRE-Large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="cclaess/SPECTRE-Large", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("cclaess/SPECTRE-Large", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SPECTRE-Large
1.59 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
cclaess's picture
cclaess
Initial commit
c94af45 verified 1 day ago
  • imgs
    Initial commit 1 day ago
  • spectre
    Initial commit 1 day ago
  • .gitattributes
    1.58 kB
    Initial commit 1 day ago
  • LICENSE
    1.09 kB
    Initial commit 1 day ago
  • LICENSE_MODELS
    21.3 kB
    Initial commit 1 day ago
  • README.md
    10.2 kB
    Initial commit 1 day ago
  • config.json
    727 Bytes
    Initial commit 1 day ago
  • configuration_spectre.py
    976 Bytes
    Initial commit 1 day ago
  • metadata.yaml
    229 Bytes
    Initial commit 1 day ago
  • model.safetensors
    1.59 GB
    xet
    Initial commit 1 day ago
  • modeling_spectre.py
    1.19 kB
    Initial commit 1 day ago