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

google-bert
/
bert-base-uncased

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Rust
Core ML
ONNX
Safetensors
English
bert
exbert
Model card Files Files and versions
xet
Community
99

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

  • Libraries
  • Transformers

    How to use google-bert/bert-base-uncased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="google-bert/bert-base-uncased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-base-uncased")
    model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-base-uncased")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-uncased / coreml /fill-mask /float32_model.mlpackage
532 MB
Ctrl+K
Ctrl+K
  • 14 contributors
History: 1 commit
pcuenq's picture
pcuenq HF Staff
Add Core ML conversion (#42)
a265f77 almost 3 years ago
  • Data
    Add Core ML conversion (#42) almost 3 years ago
  • Manifest.json
    617 Bytes
    Add Core ML conversion (#42) almost 3 years ago