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s-nlp
/
GenChal_2022_nigula

Transformers
PyTorch
English
t5
text2text-generation
feedback comment generation for writing learning
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use s-nlp/GenChal_2022_nigula with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use s-nlp/GenChal_2022_nigula with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("s-nlp/GenChal_2022_nigula")
    model = AutoModelForSeq2SeqLM.from_pretrained("s-nlp/GenChal_2022_nigula", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
GenChal_2022_nigula
2.95 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
Skolkovo Institute of Science and Technology
Update README.md
afe332e almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit about 4 years ago
  • README.md
    3.27 kB
    Update README.md almost 4 years ago
  • config.json
    1.49 kB
    Upload config.json about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    2.95 GB
    xet
    Upload pytorch_model.bin about 4 years ago
  • special_tokens_map.json
    2.2 kB
    Upload special_tokens_map.json about 4 years ago
  • spiece.model
    792 kB
    xet
    Upload spiece.model about 4 years ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer.json about 4 years ago
  • tokenizer_config.json
    2.35 kB
    Upload tokenizer_config.json about 4 years ago