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

UBC-NLP
/
AraT5v2-base-1024

Transformers
PyTorch
Arabic
t5
Arabic T5
MSA
Twitter
Arabic Dialect
Arabic Machine Translation
Arabic Text Summarization
Arabic News Title and Question Generation
Arabic Paraphrasing and Transliteration
Arabic Code-Switched Translation
text-generation-inference
Model card Files Files and versions
xet
Community
6

Instructions to use UBC-NLP/AraT5v2-base-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use UBC-NLP/AraT5v2-base-1024 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("UBC-NLP/AraT5v2-base-1024", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

how to use it for translation

2
#6 opened over 1 year ago by
hwang136

Adding `safetensors` variant of this model

#5 opened over 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#4 opened about 2 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#3 opened about 2 years ago by
SFconvertbot

Inquery about cost related to your LLMs

👍 1
#2 opened over 2 years ago by
alielfilali01

Adding `safetensors` variant of this model

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