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JesseStover
/
L2AIdict-bert-base-multilingual-uncased

Multiple Choice
Transformers
Safetensors
bert
Model card Files Files and versions
xet
Community

Instructions to use JesseStover/L2AIdict-bert-base-multilingual-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JesseStover/L2AIdict-bert-base-multilingual-uncased with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultipleChoice
    
    tokenizer = AutoTokenizer.from_pretrained("JesseStover/L2AIdict-bert-base-multilingual-uncased")
    model = AutoModelForMultipleChoice.from_pretrained("JesseStover/L2AIdict-bert-base-multilingual-uncased", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
L2AIdict-bert-base-multilingual-uncased
2.02 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
JesseStover's picture
JesseStover
Upload code/inference.py with huggingface_hub
6b27180 verified over 2 years ago
  • code
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  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    840 Bytes
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  • model.safetensors
    669 MB
    xet
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  • optimizer.pt
    1.34 GB
    xet
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  • rng_state.pth
    14.2 kB
    xet
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  • scheduler.pt
    1.06 kB
    xet
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  • sentencepiece.bpe.model
    5.07 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    2.56 MB
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  • tokenizer_config.json
    1.19 kB
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  • trainer_state.json
    1.52 kB
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  • training_args.bin
    4.6 kB
    xet
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  • vocab.txt
    872 kB
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