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

Modfiededition
/
t5-base-fine-tuned-on-jfleg

Transformers
google-tensorflow TensorFlow
t5
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use Modfiededition/t5-base-fine-tuned-on-jfleg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Modfiededition/t5-base-fine-tuned-on-jfleg with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Modfiededition/t5-base-fine-tuned-on-jfleg")
    model = AutoModelForSeq2SeqLM.from_pretrained("Modfiededition/t5-base-fine-tuned-on-jfleg", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
t5-base-fine-tuned-on-jfleg
894 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
Modfiededition's picture
Modfiededition
Update README.md
22c1c73 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    1.4 kB
    Update README.md over 4 years ago
  • config.json
    1.35 kB
    add model over 4 years ago
  • special_tokens_map.json
    1.79 kB
    add tokenizer over 4 years ago
  • spiece.model
    792 kB
    xet
    add tokenizer over 4 years ago
  • tf_model.h5
    892 MB
    xet
    add model over 4 years ago
  • tokenizer.json
    1.39 MB
    add tokenizer over 4 years ago
  • tokenizer_config.json
    1.95 kB
    add tokenizer over 4 years ago