Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

naidukr
/
Opentriage

Text Classification
Transformers
English
phi
text-generation
disaster-response
ticket-triage
knowledge-distillation
emergency-management
Model card Files Files and versions
xet
Community

Instructions to use naidukr/Opentriage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use naidukr/Opentriage with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="naidukr/Opentriage")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("naidukr/Opentriage")
    model = AutoModelForCausalLM.from_pretrained("naidukr/Opentriage")
  • Notebooks
  • Google Colab
  • Kaggle
Opentriage
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
naidukr's picture
naidukr
Upload model card
ff3d38b verified 21 days ago
  • .gitattributes
    1.52 kB
    initial commit 28 days ago
  • README.md
    9.82 kB
    Upload model card 21 days ago
  • config.json
    773 Bytes
    Upload OpenTriage distilled disaster ticket triage model 21 days ago
  • sample_triage_tickets.json
    36.1 kB
    Add OpenTriage model configuration and sample data 21 days ago
  • special_tokens_map.json
    311 Bytes
    Upload OpenTriage distilled disaster ticket triage model 21 days ago
  • tokenizer_config.json
    1.01 kB
    Upload OpenTriage distilled disaster ticket triage model 21 days ago