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isarth
/
roberta-news-chatgpt

Fill-Mask
Transformers
PyTorch
roberta
Generated from Trainer
Model card Files Files and versions
xet
Community
1

Instructions to use isarth/roberta-news-chatgpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use isarth/roberta-news-chatgpt with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="isarth/roberta-news-chatgpt")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("isarth/roberta-news-chatgpt")
    model = AutoModelForMaskedLM.from_pretrained("isarth/roberta-news-chatgpt")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-news-chatgpt
503 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
isarth's picture
isarth
Upload 13 files
b99b8c6 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    25.6 kB
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  • all_results.json
    442 Bytes
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  • config.json
    637 Bytes
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  • eval_results.json
    266 Bytes
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  • merges.txt
    496 kB
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    499 MB
    xet
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  • special_tokens_map.json
    280 Bytes
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  • tokenizer.json
    2.19 MB
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  • tokenizer_config.json
    527 Bytes
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  • train_results.json
    197 Bytes
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  • trainer_state.json
    139 kB
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  • training_args.bin

    Detected Pickle imports (6)

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

    How to fix it?

    3.45 kB
    xet
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  • vocab.json
    838 kB
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