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

  • Log In
  • Sign Up

Shadowmachete
/
nlp_training

Question Answering
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use Shadowmachete/nlp_training with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="Shadowmachete/nlp_training")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("Shadowmachete/nlp_training")
    model = AutoModelForQuestionAnswering.from_pretrained("Shadowmachete/nlp_training")
  • Notebooks
  • Google Colab
  • Kaggle
nlp_training / runs
32.2 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Shadowmachete's picture
Shadowmachete
End of training
608873b verified almost 2 years ago
  • May29_09-20-35_LAPTOP-RETT3JD7
    End of training almost 2 years ago
  • May29_09-33-43_LAPTOP-RETT3JD7
    End of training almost 2 years ago
  • May29_09-38-25_LAPTOP-RETT3JD7
    End of training almost 2 years ago
  • May29_09-42-10_LAPTOP-RETT3JD7
    End of training almost 2 years ago
  • May29_10-30-38_LAPTOP-RETT3JD7
    End of training almost 2 years ago