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jogonba2
/
POCTS

Summarization
Transformers
PyTorch
bart
text2text-generation
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use jogonba2/POCTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jogonba2/POCTS with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("summarization", model="jogonba2/POCTS")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("jogonba2/POCTS")
    model = AutoModelForSeq2SeqLM.from_pretrained("jogonba2/POCTS")
  • Notebooks
  • Google Colab
  • Kaggle
POCTS
1.63 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
José Ángel González
Update README.md
02db7ec over 4 years ago
  • .gitattributes
    1.18 kB
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  • .gitignore
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  • README.md
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  • all_results.json
    506 Bytes
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  • config.json
    1.69 kB
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  • eval_results.json
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  • merges.txt
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.63 GB
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  • special_tokens_map.json
    239 Bytes
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  • tokenizer.json
    1.36 MB
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  • tokenizer_config.json
    332 Bytes
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  • train_results.json
    197 Bytes
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  • trainer_state.json
    126 kB
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  • training_args.bin

    Detected Pickle imports (4)

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

    How to fix it?

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  • vocab.json
    798 kB
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