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

j5ng
/
et5-base

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

Instructions to use j5ng/et5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use j5ng/et5-base with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("j5ng/et5-base")
    model = AutoModelForSeq2SeqLM.from_pretrained("j5ng/et5-base")
  • Notebooks
  • Google Colab
  • Kaggle
et5-base
650 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Acdong
init
ed43a08 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • LICENSE.txt
    12.6 kB
    init almost 3 years ago
  • README.txt
    588 Bytes
    init almost 3 years ago
  • config.json
    614 Bytes
    init almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    648 MB
    xet
    init almost 3 years ago
  • spiece.model
    1.2 MB
    xet
    init almost 3 years ago
  • tokenizer_config.json
    82 Bytes
    init almost 3 years ago