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

  • Log In
  • Sign Up

Rami
/
multi-label-class-classification-on-github-issues

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
3

Instructions to use Rami/multi-label-class-classification-on-github-issues with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Rami/multi-label-class-classification-on-github-issues with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Rami/multi-label-class-classification-on-github-issues")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Rami/multi-label-class-classification-on-github-issues")
    model = AutoModelForSequenceClassification.from_pretrained("Rami/multi-label-class-classification-on-github-issues")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Upload VID_20260411_054557_149.mp3

#3 opened 26 days ago by
Nnwa6548

Librarian Bot: Add base_model information to model

#2 opened over 2 years ago by
librarian-bot

Adding `safetensors` variant of this model

#1 opened about 3 years ago by
SFconvertbot
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs