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
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

e22vvb
/
EN_mt5-base_spider

Transformers
PyTorch
TensorBoard
mt5
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use e22vvb/EN_mt5-base_spider with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use e22vvb/EN_mt5-base_spider with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("e22vvb/EN_mt5-base_spider")
    model = AutoModelForSeq2SeqLM.from_pretrained("e22vvb/EN_mt5-base_spider")
  • Notebooks
  • Google Colab
  • Kaggle
EN_mt5-base_spider / runs
45.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 24 commits
e22vvb's picture
e22vvb
Model save
26e8699 over 2 years ago
  • Jan21_17-10-11_munich
    Model save over 2 years ago
  • Jan22_00-20-12_munich
    Training in progress, epoch 2 over 2 years ago
  • Jan22_00-37-16_munich
    Model save over 2 years ago