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JKSHINPG
/
HyperStyler

Feature Extraction
Transformers
Safetensors
English
hyperstyler
style-transfer
authorship
custom_code
Model card Files Files and versions
xet
Community

Instructions to use JKSHINPG/HyperStyler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JKSHINPG/HyperStyler with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="JKSHINPG/HyperStyler", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("JKSHINPG/HyperStyler", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
HyperStyler
3.47 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
JKSHINPG's picture
JKSHINPG
Add TinyStyler license notice; trim model card
64c529c verified 6 days ago
  • .gitattributes
    1.52 kB
    initial commit 6 days ago
  • README.md
    3.03 kB
    Add TinyStyler license notice; trim model card 6 days ago
  • config.json
    883 Bytes
    Release HyperStyler (Reddit) 6 days ago
  • config_t5.py
    7.43 kB
    Release HyperStyler (Reddit) 6 days ago
  • configuration_hyperstyler.py
    632 Bytes
    Release HyperStyler (Reddit) 6 days ago
  • hyperstyler.py
    34.4 kB
    Release HyperStyler (Reddit) 6 days ago
  • model.safetensors
    3.47 GB
    xet
    Release HyperStyler (Reddit) 6 days ago
  • modeling_hyperstyler.py
    3.97 kB
    Release HyperStyler (Reddit) 6 days ago
  • modeling_t5_hyperstyler.py
    116 kB
    Release HyperStyler (Reddit) 6 days ago
  • style_utils.py
    6.2 kB
    Add TinyStyler license notice; trim model card 6 days ago