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Prience91
/
MLM_model_output

Fill-Mask
Transformers
Safetensors
distilbert
Model card Files Files and versions
xet
Community

Instructions to use Prience91/MLM_model_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Prience91/MLM_model_output with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Prience91/MLM_model_output")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("Prience91/MLM_model_output")
    model = AutoModelForMaskedLM.from_pretrained("Prience91/MLM_model_output", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MLM_model_output
269 MB
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  • 1 contributor
History: 3 commits
Prience91's picture
Prience91
Upload tokenizer
5b3086e verified 17 days ago
  • .gitattributes
    1.52 kB
    initial commit 17 days ago
  • README.md
    5.17 kB
    Upload DistilBertForMaskedLM 17 days ago
  • config.json
    579 Bytes
    Upload DistilBertForMaskedLM 17 days ago
  • model.safetensors
    268 MB
    xet
    Upload DistilBertForMaskedLM 17 days ago
  • tokenizer.json
    711 kB
    Upload tokenizer 17 days ago
  • tokenizer_config.json
    351 Bytes
    Upload tokenizer 17 days ago