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dream-machine-ai
/
Dream-Machine-08-09

Feature Extraction
Transformers
Safetensors
PyTorch
Chinese
English
dreammachine
recommendation
retrieval
dual-tower
transformer
multi-hash-embedding
Dream-Machine-08-09
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use dream-machine-ai/Dream-Machine-08-09 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dream-machine-ai/Dream-Machine-08-09 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="dream-machine-ai/Dream-Machine-08-09", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("dream-machine-ai/Dream-Machine-08-09", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Dream-Machine-08-09 / hf_model
311 MB
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  • 1 contributor
History: 2 commits
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Add license to hf_model/README.md
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  • README.md
    3.95 kB
    Add license to hf_model/README.md 3 days ago
  • config.json
    539 Bytes
    Upload Dream-Machine-08-09 model files 3 days ago
  • legacy_config.json
    615 Bytes
    Upload Dream-Machine-08-09 model files 3 days ago
  • model.safetensors
    311 MB
    xet
    Upload Dream-Machine-08-09 model files 3 days ago