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Meanblock
/
JEV-CPU

Zero-Shot Classification
Transformers
semantic-if
decision
semif
cpu
Model card Files Files and versions
xet
Community

Instructions to use Meanblock/JEV-CPU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Meanblock/JEV-CPU with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="Meanblock/JEV-CPU")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Meanblock/JEV-CPU", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
JEV-CPU / tests
15.1 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
Meanblock's picture
Meanblock
Add JEV-CPU: CPU port of SemIf + web UI
7845694 verified 1 day ago
  • test_cli.py
    2.26 kB
    Add JEV-CPU: CPU port of SemIf + web UI 1 day ago
  • test_core.py
    1.42 kB
    Add JEV-CPU: CPU port of SemIf + web UI 1 day ago
  • test_mlx.py
    6.35 kB
    Add JEV-CPU: CPU port of SemIf + web UI 1 day ago
  • test_mlx_evidence.py
    2.49 kB
    Add JEV-CPU: CPU port of SemIf + web UI 1 day ago
  • test_reranker.py
    1.38 kB
    Add JEV-CPU: CPU port of SemIf + web UI 1 day ago
  • test_serial.py
    735 Bytes
    Add JEV-CPU: CPU port of SemIf + web UI 1 day ago
  • test_shared.py
    476 Bytes
    Add JEV-CPU: CPU port of SemIf + web UI 1 day ago