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impira
/
text2iql-byt5

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

Instructions to use impira/text2iql-byt5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use impira/text2iql-byt5 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("impira/text2iql-byt5")
    model = AutoModelForSeq2SeqLM.from_pretrained("impira/text2iql-byt5")
  • Notebooks
  • Google Colab
  • Kaggle
text2iql-byt5
2.33 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
ankrgyl's picture
ankrgyl
Update config.json
d12e21e over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • config.json
    835 Bytes
    Update config.json over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    2.33 GB
    xet
    Upload T5ForConditionalGeneration over 3 years ago
  • special_tokens_map.json
    3.09 kB
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    3.44 kB
    Upload tokenizer over 3 years ago