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

OATML-Markslab
/
Tranception_Medium

Fill-Mask
Transformers
PyTorch
tranception
Model card Files Files and versions
xet
Community
2

Instructions to use OATML-Markslab/Tranception_Medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use OATML-Markslab/Tranception_Medium with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="OATML-Markslab/Tranception_Medium")
    # Load model directly
    from transformers import AutoModelWithLMHead
    model = AutoModelWithLMHead.from_pretrained("OATML-Markslab/Tranception_Medium", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#2 opened about 1 month ago by
SFconvertbot

Generated code snippets for Tranception_medium doesn't work

#1 opened 7 months ago by
AnimOhene
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs