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sravn
/
e2e-qg-bert

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

Instructions to use sravn/e2e-qg-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sravn/e2e-qg-bert with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("sravn/e2e-qg-bert")
    model = AutoModelForSeq2SeqLM.from_pretrained("sravn/e2e-qg-bert")
  • Notebooks
  • Google Colab
  • Kaggle
e2e-qg-bert
1.98 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
f0ee049 about 3 years ago
  • .gitattributes
    744 Bytes
    Adding `safetensors` variant of this model about 3 years ago
  • config.json
    4.13 kB
    Initial commit almost 5 years ago
  • model.safetensors
    990 MB
    xet
    Adding `safetensors` variant of this model about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    990 MB
    xet
    Initial commit almost 5 years ago
  • special_tokens_map.json
    156 Bytes
    Initial commit almost 5 years ago
  • tokenizer_config.json
    280 Bytes
    Initial commit almost 5 years ago
  • vocab.txt
    232 kB
    Initial commit almost 5 years ago