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

  • Log In
  • Sign Up

Sakuna
/
RAGent_ver

Text Classification
Transformers
Safetensors
bart
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Sakuna/RAGent_ver with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Sakuna/RAGent_ver")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Sakuna/RAGent_ver")
    model = AutoModelForSequenceClassification.from_pretrained("Sakuna/RAGent_ver")
  • Notebooks
  • Google Colab
  • Kaggle
RAGent_ver
1.63 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Sakuna's picture
Sakuna
Upload BartForSequenceClassification
0588ae6 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.17 kB
    Upload BartForSequenceClassification about 1 year ago
  • config.json
    2.14 kB
    Upload BartForSequenceClassification about 1 year ago
  • model.safetensors
    1.63 GB
    xet
    Upload BartForSequenceClassification about 1 year ago