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lowem1
/
albert_cms-rx-quality-correction

Fill-Mask
Transformers
PyTorch
albert
Model card Files Files and versions
xet
Community
1

Instructions to use lowem1/albert_cms-rx-quality-correction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lowem1/albert_cms-rx-quality-correction with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="lowem1/albert_cms-rx-quality-correction")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("lowem1/albert_cms-rx-quality-correction")
    model = AutoModelForMaskedLM.from_pretrained("lowem1/albert_cms-rx-quality-correction")
  • Notebooks
  • Google Colab
  • Kaggle
albert_cms-rx-quality-correction
47.2 MB
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  • 1 contributor
History: 4 commits
lowem1's picture
lowem1
Upload tokenizer
0fefca5 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    842 Bytes
    Upload AlbertForMaskedLM about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    44.9 MB
    xet
    Upload AlbertForMaskedLM about 3 years ago
  • special_tokens_map.json
    286 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.json
    2.27 MB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    490 Bytes
    Upload tokenizer about 3 years ago