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Mohamedd123321
/
Tokenization-large-last

Fill-Mask
Transformers
Safetensors
xlm-roberta
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use Mohamedd123321/Tokenization-large-last with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Mohamedd123321/Tokenization-large-last with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Mohamedd123321/Tokenization-large-last")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("Mohamedd123321/Tokenization-large-last")
    model = AutoModelForMaskedLM.from_pretrained("Mohamedd123321/Tokenization-large-last", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • last-checkpoint
    Training in progress, step 42000, checkpoint 30 days ago
  • .gitattributes
    1.57 kB
    Training in progress, step 6000 about 1 month ago
  • README.md
    1.58 kB
    End of training 30 days ago
  • config.json
    664 Bytes
    Training in progress, step 6000 about 1 month ago
  • model.safetensors
    2.24 GB
    xet
    End of training 30 days ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Training in progress, step 6000 about 1 month ago
  • special_tokens_map.json
    280 Bytes
    Training in progress, step 6000 about 1 month ago
  • tokenizer.json
    17.1 MB
    xet
    Training in progress, step 6000 about 1 month ago
  • tokenizer_config.json
    1.18 kB
    Training in progress, step 6000 about 1 month ago
  • training_args.bin
    5.78 kB
    xet
    End of training 30 days ago