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OATML-Markslab
/
Tranception_Large

Fill-Mask
Transformers
PyTorch
tranception
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Transformers

    How to use OATML-Markslab/Tranception_Large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="OATML-Markslab/Tranception_Large")
    # Load model directly
    from transformers import AutoModelWithLMHead
    model = AutoModelWithLMHead.from_pretrained("OATML-Markslab/Tranception_Large", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
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Adding `safetensors` variant of this model

#3 opened over 2 years ago by
SFconvertbot

Key error when loading the model using AutoTokenizer.from_pretrained

#2 opened over 2 years ago by
arjan-hada

Key error when loading the model using AutoModelForCausalLM or AutoModelWithLMHead

1
#1 opened about 3 years ago by
Florisvdf
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