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

miugod
/
mbert_trim_ende_wwm

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

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

  • Libraries
  • Transformers

    How to use miugod/mbert_trim_ende_wwm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="miugod/mbert_trim_ende_wwm")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("miugod/mbert_trim_ende_wwm")
    model = AutoModelForMaskedLM.from_pretrained("miugod/mbert_trim_ende_wwm", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mbert_trim_ende_wwm / visual
13.8 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
miugod's picture
miugod
Initial commit
448e0e5 over 3 years ago
  • 1682086892.9003937
    Initial commit over 3 years ago
  • events.out.tfevents.1682086892.I121654964400501ec9.2591.0
    7.69 kB
    xet
    Initial commit over 3 years ago
  • events.out.tfevents.1682093118.I121654964400501ec9.2591.2
    311 Bytes
    xet
    Initial commit over 3 years ago