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

leofn3
/
model

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

Instructions to use leofn3/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use leofn3/model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="leofn3/model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("leofn3/model")
    model = AutoModelForMaskedLM.from_pretrained("leofn3/model")
  • Notebooks
  • Google Colab
  • Kaggle
model / runs
256 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 51 commits
leofn3's picture
leofn3
Model save
2f260a6 verified over 2 years ago
  • Apr03_12-45-49_51967b186a57
    Training in progress, step 10000 over 2 years ago
  • Apr03_12-46-15_51967b186a57
    Model save over 2 years ago
  • Mar28_20-36-35_40c365f4c8f5
    Training in progress, step 10000 over 2 years ago
  • Mar28_20-38-00_40c365f4c8f5
    leofn3/embedding_test over 2 years ago