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Gjusev
/
laya-triage-banking77

Text Classification
Transformers
Safetensors
Laya
system-one
ticket-triage
banking77
hierarchical-classification
customer-support
routing
Model card Files Files and versions
xet
Community

Instructions to use Gjusev/laya-triage-banking77 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Gjusev/laya-triage-banking77 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Gjusev/laya-triage-banking77")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Gjusev/laya-triage-banking77", device_map="auto")
  • Laya

    How to use Gjusev/laya-triage-banking77 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-triage-banking77
846 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Gjusev's picture
Gjusev
docs: expand model card (training details, calibration, escalation, limitations)
1f223a8 verified 9 days ago
  • encoder
    laya fine-tuned on BANKING77 routing: intent accuracy 0.905 9 days ago
  • tokenizer
    laya fine-tuned on BANKING77 routing: intent accuracy 0.905 9 days ago
  • .gitattributes
    1.52 kB
    initial commit 9 days ago
  • README.md
    7.82 kB
    docs: expand model card (training details, calibration, escalation, limitations) 9 days ago
  • model.safetensors
    843 MB
    xet
    laya fine-tuned on BANKING77 routing: intent accuracy 0.905 9 days ago
  • rl_agent_config.json
    561 Bytes
    laya fine-tuned on BANKING77 routing: intent accuracy 0.905 9 days ago