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MarioBarbeque
/
CyberSolve-DeepMind-LinAlg-1D-downsample-v2

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

Instructions to use MarioBarbeque/CyberSolve-DeepMind-LinAlg-1D-downsample-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MarioBarbeque/CyberSolve-DeepMind-LinAlg-1D-downsample-v2 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("MarioBarbeque/CyberSolve-DeepMind-LinAlg-1D-downsample-v2")
    model = AutoModelForSeq2SeqLM.from_pretrained("MarioBarbeque/CyberSolve-DeepMind-LinAlg-1D-downsample-v2")
  • Notebooks
  • Google Colab
  • Kaggle
CyberSolve-DeepMind-LinAlg-1D-downsample-v2
3.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
MarioBarbeque's picture
MarioBarbeque
provide basics
591f31c verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    808 Bytes
    provide basics over 1 year ago
  • config.json
    890 Bytes
    A second finetuing of the flan-T5-large model on the downsampled DeepMind LingAlg 1D dataset, this time with a GPU batch size of 256 as opposed to 32 used before over 1 year ago
  • generation_config.json
    142 Bytes
    A second finetuing of the flan-T5-large model on the downsampled DeepMind LingAlg 1D dataset, this time with a GPU batch size of 256 as opposed to 32 used before over 1 year ago
  • model.safetensors
    3.13 GB
    xet
    A second finetuing of the flan-T5-large model on the downsampled DeepMind LingAlg 1D dataset, this time with a GPU batch size of 256 as opposed to 32 used before over 1 year ago