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

tiagoblima
/
punctuation-nilc-t5-base

Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use tiagoblima/punctuation-nilc-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tiagoblima/punctuation-nilc-t5-base with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("tiagoblima/punctuation-nilc-t5-base")
    model = AutoModelForSeq2SeqLM.from_pretrained("tiagoblima/punctuation-nilc-t5-base", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
punctuation-nilc-t5-base
895 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Tiago Barbosa de Lima
End of training
ac27b2e over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 500 over 3 years ago
  • README.md
    1.7 kB
    update model card README.md over 3 years ago
  • all_results.json
    418 Bytes
    End of training over 3 years ago
  • config.json
    762 Bytes
    Training in progress, step 500 over 3 years ago
  • eval_results.json
    243 Bytes
    End of training over 3 years ago
  • pytorch_model.bin
    892 MB
    xet
    Model save over 3 years ago
  • special_tokens_map.json
    2.2 kB
    Training in progress, step 500 over 3 years ago
  • spiece.model
    756 kB
    xet
    Training in progress, step 500 over 3 years ago
  • tokenizer.json
    2.39 MB
    Training in progress, step 500 over 3 years ago
  • tokenizer_config.json
    2.4 kB
    Training in progress, step 500 over 3 years ago
  • train_results.json
    195 Bytes
    End of training over 3 years ago
  • trainer_state.json
    7.52 kB
    End of training over 3 years ago
  • training_args.bin
    3.57 kB
    xet
    Training in progress, step 500 over 3 years ago