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convaiinnovations
/
laya-typed-decisions

Text Classification
Transformers
Safetensors
Laya
English
system-one
calibrated-decisions
rlcd
typed-decisions
classification
agent-observability
invoice-processing
security-incidents
customer-service
commercial-use
Model card Files Files and versions
xet
Community
2

Instructions to use convaiinnovations/laya-typed-decisions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use convaiinnovations/laya-typed-decisions with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="convaiinnovations/laya-typed-decisions")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import LayaTypedDecisions
    model = LayaTypedDecisions.from_pretrained("convaiinnovations/laya-typed-decisions", device_map="auto")
  • Laya

    How to use convaiinnovations/laya-typed-decisions with Laya:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Notebooks
  • Google Colab
  • Kaggle
laya-typed-decisions
846 MB
Ctrl+K
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  • 1 contributor
History: 13 commits
convaiinnovations's picture
convaiinnovations
chore: root config.json so the Hub tracks downloads
e929ae5 verified 5 days ago
  • encoder
    Laya fine-tuned on typed-decisions: Accuracy 0.766 (beats Jev 0.727) 20 days ago
  • tokenizer
    Laya fine-tuned on typed-decisions: Accuracy 0.766 (beats Jev 0.727) 20 days ago
  • .gitattributes
    1.52 kB
    initial commit 20 days ago
  • README.md
    6.34 kB
    README: laya 0.3.14 release notes and docs site 14 days ago
  • config.json
    160 Bytes
    chore: root config.json so the Hub tracks downloads 5 days ago
  • model.safetensors
    843 MB
    xet
    Laya fine-tuned on typed-decisions: Accuracy 0.766 (beats Jev 0.727) 20 days ago
  • rl_agent_config.json
    847 Bytes
    chore: point encoder at the upstream model id instead of a local build path 19 days ago