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MiBo
/
SABERT

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

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

  • Libraries
  • Transformers

    How to use MiBo/SABERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="MiBo/SABERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("MiBo/SABERT")
    model = AutoModelForSequenceClassification.from_pretrained("MiBo/SABERT")
  • Notebooks
  • Google Colab
  • Kaggle
SABERT
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  • 2 contributors
History: 7 commits
MiBo's picture
MiBo
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
e2413a4 almost 3 years ago
  • .gitattributes
    846 Bytes
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • config.json
    898 Bytes
    pytorch model 2 epochs almost 5 years ago
  • model.safetensors
    438 MB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • pytorch_model.bin
    438 MB
    xet
    pytorch model 2 epochs almost 5 years ago