Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

Barzillian
/
knowledge-Distillation

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Barzillian/knowledge-Distillation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Barzillian/knowledge-Distillation with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Barzillian/knowledge-Distillation")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Barzillian/knowledge-Distillation")
    model = AutoModelForSequenceClassification.from_pretrained("Barzillian/knowledge-Distillation")
  • Notebooks
  • Google Colab
  • Kaggle
knowledge-Distillation / runs
32.6 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 19 commits
Barzillian's picture
Barzillian
Upload folder using huggingface_hub
4b52572 verified 10 months ago
  • Jul26_08-47-27_r-barzillian-autotrain-tihbmnmf-fb27f-ntzqa
    Upload folder using huggingface_hub 10 months ago