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michaelriedl
/
MonsterForge-small

Feature Extraction
Transformers
PyTorch
lightweight-gan
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use michaelriedl/MonsterForge-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use michaelriedl/MonsterForge-small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="michaelriedl/MonsterForge-small", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("michaelriedl/MonsterForge-small", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MonsterForge-small
94.5 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
michaelriedl's picture
michaelriedl
Moved GAN to single file
9a1cd80 almost 3 years ago
  • LightweightGAN
    Initial dump almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • .gitignore
    121 Bytes
    Initial dump almost 3 years ago
  • LightweightGAN.py
    12 kB
    Moved GAN to single file almost 3 years ago
  • MonsterForgeModel.py
    988 Bytes
    Switched to relative import almost 3 years ago
  • MonsterForgeSmallConfig.py
    919 Bytes
    Initial dump almost 3 years ago
  • README.md
    21 Bytes
    initial commit almost 3 years ago
  • config.json
    562 Bytes
    Initial dump almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.LongStorage",
    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    94.5 MB
    xet
    Initial dump almost 3 years ago