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tals
/
albert-base-vitaminc_flagging

Text Classification
Transformers
PyTorch
albert
Model card Files Files and versions
xet
Community
1

Instructions to use tals/albert-base-vitaminc_flagging with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tals/albert-base-vitaminc_flagging with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="tals/albert-base-vitaminc_flagging")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tals/albert-base-vitaminc_flagging")
    model = AutoModelForSequenceClassification.from_pretrained("tals/albert-base-vitaminc_flagging")
  • Notebooks
  • Google Colab
  • Kaggle
albert-base-vitaminc_flagging
47.5 MB
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  • 2 contributors
History: 4 commits
tals's picture
tals
Update README.md
1e5f38d almost 4 years ago
  • .gitattributes
    690 Bytes
    initial commit about 5 years ago
  • README.md
    2.36 kB
    Update README.md almost 4 years ago
  • config.json
    994 Bytes
    model files about 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    46.8 MB
    xet
    model files about 5 years ago
  • special_tokens_map.json
    156 Bytes
    model files about 5 years ago
  • spiece.model
    760 kB
    xet
    model files about 5 years ago
  • tokenizer_config.json
    215 Bytes
    model files about 5 years ago