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Pipper
/
SolCoder

Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Pipper/SolCoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Pipper/SolCoder with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("Pipper/SolCoder")
    model = AutoModelForMultimodalLM.from_pretrained("Pipper/SolCoder")
  • Notebooks
  • Google Colab
  • Kaggle
SolCoder
1.78 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
bafb839 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.38 kB
    training latge t5 comment 2 code done 12/12/2023, 18:44:34 over 2 years ago
  • config.json
    1.65 kB
    training latge t5 comment 2 code done 12/12/2023, 18:44:34 over 2 years ago
  • generation_config.json
    163 Bytes
    Upload T5ForConditionalGeneration over 2 years ago
  • merges.txt
    294 kB
    Upload tokenizer over 2 years ago
  • model.safetensors
    892 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin
    892 MB
    xet
    training latge t5 comment 2 code done 12/12/2023, 18:44:34 over 2 years ago
  • special_tokens_map.json
    15.5 kB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    1.31 kB
    Upload tokenizer over 2 years ago
  • training_args.bin
    4.6 kB
    xet
    training latge t5 comment 2 code done 12/12/2023, 18:44:34 over 2 years ago
  • vocab.json
    639 kB
    Upload tokenizer over 2 years ago