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DreamMachine-AI
/
Dream-Machine

Feature Extraction
Transformers
PyTorch
Chinese
English
recommendation
dual-tower
transformer
multi-hash-embedding
Model card Files Files and versions
xet
Community

Instructions to use DreamMachine-AI/Dream-Machine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DreamMachine-AI/Dream-Machine with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="DreamMachine-AI/Dream-Machine")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("DreamMachine-AI/Dream-Machine", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Dream-Machine
8.12 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
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  • .gitattributes
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  • README.md
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