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

Supiri
/
t5-base-conversation

Transformers
PyTorch
TensorBoard
English
t5
text2text-generation
NLP
ChatBot
Game AI
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use Supiri/t5-base-conversation with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Supiri/t5-base-conversation")
    model = AutoModelForSeq2SeqLM.from_pretrained("Supiri/t5-base-conversation", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
t5-base-conversation / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Supiri's picture
Supiri
Finished Training
f6df077 over 4 years ago
  • Jan17_16-36-32_3e9e63d320a6
    Finished Training over 4 years ago