Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

lisali126
/
Hetero-MoE

Transformers
PyTorch
switch_transformers
text2text-generation
Model card Files Files and versions
xet
Community
1

Instructions to use lisali126/Hetero-MoE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lisali126/Hetero-MoE with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("lisali126/Hetero-MoE")
    model = AutoModelForSeq2SeqLM.from_pretrained("lisali126/Hetero-MoE")
  • Notebooks
  • Google Colab
  • Kaggle
Hetero-MoE
1.24 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
lisali126's picture
lisali126
Upload SwitchTransformersForConditionalGeneration
5a149b1 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    1.97 kB
    Upload SwitchTransformersForConditionalGeneration about 3 years ago
  • generation_config.json
    147 Bytes
    Upload SwitchTransformersForConditionalGeneration about 3 years ago
  • pytorch_model.bin
    1.24 GB
    xet
    Upload SwitchTransformersForConditionalGeneration about 3 years ago