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AVSilva
/
bertimbau-large-fine-tuned-sd

Fill-Mask
Transformers
PyTorch
bert
Generated from Trainer
Model card Files Files and versions
xet
Community
2

Instructions to use AVSilva/bertimbau-large-fine-tuned-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AVSilva/bertimbau-large-fine-tuned-sd with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="AVSilva/bertimbau-large-fine-tuned-sd")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("AVSilva/bertimbau-large-fine-tuned-sd")
    model = AutoModelForMaskedLM.from_pretrained("AVSilva/bertimbau-large-fine-tuned-sd")
  • Notebooks
  • Google Colab
  • Kaggle
bertimbau-large-fine-tuned-sd
1.34 GB
Ctrl+K
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  • 1 contributor
History: 21 commits
AVSilva's picture
AVSilva
Upload README.md
3659caf over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    1.12 kB
    Upload README.md over 4 years ago
  • all_results.json
    395 Bytes
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  • config.json
    870 Bytes
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  • eval_results.json
    224 Bytes
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  • pytorch_model.bin
    1.34 GB
    xet
    Upload pytorch_model.bin with git-lfs over 4 years ago
  • special_tokens_map.json
    112 Bytes
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  • tokenizer.json
    438 kB
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  • tokenizer_config.json
    539 Bytes
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  • train_results.json
    191 Bytes
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  • trainer_state.json
    591 Bytes
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  • training_args.bin

    Detected Pickle imports (5)

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

    How to fix it?

    2.93 kB
    xet
    Upload training_args.bin with git-lfs over 4 years ago
  • vocab.txt
    210 kB
    Upload vocab.txt over 4 years ago