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

FacebookAI
/
roberta-base

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Rust
Safetensors
English
roberta
exbert
Model card Files Files and versions
xet
Community
14

Instructions to use FacebookAI/roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use FacebookAI/roberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="FacebookAI/roberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("FacebookAI/roberta-base")
    model = AutoModelForMaskedLM.from_pretrained("FacebookAI/roberta-base")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base
604 kB
Ctrl+K
Ctrl+K
  • 6 contributors
History: 3 commits
system's picture
system HF Staff
Update config.json
a5b34d0 almost 7 years ago
  • .gitattributes
    345 Bytes
    initial commit almost 7 years ago
  • config.json
    473 Bytes
    Update config.json almost 7 years ago
  • dict.txt
    603 kB
    Update dict.txt almost 7 years ago