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

aisingapore
/
cross-sentence-GEC

Text Classification
Transformers
PyTorch
English
GEC
Model card Files Files and versions
xet
Community

Instructions to use aisingapore/cross-sentence-GEC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aisingapore/cross-sentence-GEC with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="aisingapore/cross-sentence-GEC")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("aisingapore/cross-sentence-GEC", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
cross-sentence-GEC
Ctrl+K
Ctrl+K
  • 3 contributors
History: 5 commits
tainc's picture
tainc
update links from sgnlp to sgnlp-models
30fc7d8 over 3 years ago
  • ctx_tokenizer
    upload model and tokenizer over 3 years ago
  • src_tokenizer
    upload model and tokenizer over 3 years ago
  • tgt_tokenizer
    upload model and tokenizer over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    5.51 kB
    update links from sgnlp to sgnlp-models over 3 years ago
  • config.json
    484 Bytes
    upload model and tokenizer over 3 years ago
  • pytorch_model.bin
    803 MB
    xet
    upload model and tokenizer over 3 years ago