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context-sbf
/
charm-xl

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

Instructions to use context-sbf/charm-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use context-sbf/charm-xl with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("context-sbf/charm-xl")
    model = AutoModelForSeq2SeqLM.from_pretrained("context-sbf/charm-xl")
  • Notebooks
  • Google Colab
  • Kaggle
charm-xl
11.4 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Xuhui's picture
Xuhui
Upload 9 files
f77ed31 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    26 Bytes
    initial commit almost 3 years ago
  • config.json
    1.53 kB
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  • index.html
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  • pytorch_model-00001-of-00002.bin
    9.45 GB
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  • pytorch_model-00002-of-00002.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.95 GB
    xet
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  • pytorch_model.bin.index.json
    50.8 kB
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  • special_tokens_map.json
    2.2 kB
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  • spiece.model
    792 kB
    xet
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  • tokenizer_config.json
    2.54 kB
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  • training_args.bin

    Detected Pickle imports (6)

    • "transformers.trainer_utils.SchedulerType",
    • "transformers.training_args.OptimizerNames",
    • "transformers.training_args_seq2seq.Seq2SeqTrainingArguments",
    • "transformers.trainer_utils.IntervalStrategy",
    • "torch.device",
    • "transformers.trainer_utils.HubStrategy"

    How to fix it?

    3.52 kB
    xet
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