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
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

Jeska
/
BertjeWDialDataALL

Fill-Mask
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use Jeska/BertjeWDialDataALL with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Jeska/BertjeWDialDataALL")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("Jeska/BertjeWDialDataALL")
    model = AutoModelForMaskedLM.from_pretrained("Jeska/BertjeWDialDataALL")
  • Notebooks
  • Google Colab
  • Kaggle
BertjeWDialDataALL / runs
24.8 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
Jeska's picture
Jeska
End of training
179f2da over 4 years ago
  • Dec02_09-18-21_jbuhmann
    End of training over 4 years ago
  • Dec03_09-11-10_jbuhmann
    End of training over 4 years ago