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VMware
/
t5-small-question-generator

Transformers
PyTorch
Safetensors
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
2

Instructions to use VMware/t5-small-question-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use VMware/t5-small-question-generator with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("VMware/t5-small-question-generator")
    model = AutoModelForSeq2SeqLM.from_pretrained("VMware/t5-small-question-generator")
  • Notebooks
  • Google Colab
  • Kaggle
t5-small-question-generator
616 MB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 7 commits
rbattle's picture
rbattle
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#2)
413fcc0 about 3 years ago
  • .gitattributes
    1.43 kB
    initial commit over 3 years ago
  • README.md
    2.92 kB
    Librarian Bot: Update dataset YAML metadata for model (#1) about 3 years ago
  • added_tokens.json
    39 Bytes
    Initial upload over 3 years ago
  • config.json
    665 Bytes
    Initial upload over 3 years ago
  • model.safetensors
    308 MB
    xet
    Adding `safetensors` variant of this model (#2) about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    308 MB
    xet
    Initial upload over 3 years ago
  • special_tokens_map.json
    121 Bytes
    Initial upload over 3 years ago
  • spiece.model
    792 kB
    xet
    Initial upload over 3 years ago
  • tokenizer_config.json
    2.16 kB
    Initial upload over 3 years ago