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

anhdt-dsai-02
/
ViT5-sum

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

Instructions to use anhdt-dsai-02/ViT5-sum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use anhdt-dsai-02/ViT5-sum with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("anhdt-dsai-02/ViT5-sum")
    model = AutoModelForSeq2SeqLM.from_pretrained("anhdt-dsai-02/ViT5-sum", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ViT5-sum
904 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
anhdt-dsai-02's picture
anhdt-dsai-02
Upload T5ForConditionalGeneration
8d6d71e almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    874 Bytes
    Upload T5ForConditionalGeneration almost 3 years ago
  • generation_config.json
    142 Bytes
    Upload T5ForConditionalGeneration almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    904 MB
    xet
    Upload T5ForConditionalGeneration almost 3 years ago