Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

Linhz
/
AlphaEdu_ViT5

Transformers
Safetensors
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Linhz/AlphaEdu_ViT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Linhz/AlphaEdu_ViT5 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Linhz/AlphaEdu_ViT5")
    model = AutoModelForSeq2SeqLM.from_pretrained("Linhz/AlphaEdu_ViT5")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

[WIP] Upload folder using huggingface_hub (multi-commit 464084a69ef426035653a71124cc81f0c8f24d764cf67f3ae5ac53ceffc525e1)

#1 opened about 2 years ago by
Linhz
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs