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

roval15
/
umt5-small_translation_model

Transformers
TensorBoard
Safetensors
umt5
text2text-generation
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use roval15/umt5-small_translation_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use roval15/umt5-small_translation_model with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("roval15/umt5-small_translation_model")
    model = AutoModelForSeq2SeqLM.from_pretrained("roval15/umt5-small_translation_model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
umt5-small_translation_model / runs
7.91 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
roval15's picture
roval15
Training in progress, step 6500
0522c34 verified over 2 years ago
  • Feb22_02-09-11_32365c64580a
    Training in progress, step 6500 over 2 years ago