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Avifenesh
/
layby-dwell

Text Classification
Transformers
Safetensors
kv-cache
llm-serving
inference
survival-analysis
vllm
sglang
agents
Model card Files Files and versions
xet
Community

Instructions to use Avifenesh/layby-dwell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Avifenesh/layby-dwell with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Avifenesh/layby-dwell")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Avifenesh/layby-dwell", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
layby-dwell
1.69 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Avifenesh's picture
Avifenesh
Model card: link the Zenodo code archive
101cc44 verified 4 days ago
  • encoder
    Layby-Dwell v6: return-time survival curves for idle LLM sessions 6 days ago
  • tokenizer
    Layby-Dwell v6: return-time survival curves for idle LLM sessions 6 days ago
  • .gitattributes
    1.52 kB
    initial commit 6 days ago
  • LICENSE
    11.4 kB
    Layby-Dwell v6: return-time survival curves for idle LLM sessions 6 days ago
  • README.md
    9.76 kB
    Model card: link the Zenodo code archive 4 days ago
  • config.json
    1.4 kB
    Layby-Dwell v6: return-time survival curves for idle LLM sessions 6 days ago
  • model.safetensors
    1.69 GB
    xet
    Layby-Dwell v6: return-time survival curves for idle LLM sessions 6 days ago