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pnskmj1017
/
bert_model

Text Classification
Transformers
TensorBoard
Safetensors
bert
HHD
10_class
multi_labels
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use pnskmj1017/bert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pnskmj1017/bert_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="pnskmj1017/bert_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("pnskmj1017/bert_model")
    model = AutoModelForSequenceClassification.from_pretrained("pnskmj1017/bert_model")
  • Notebooks
  • Google Colab
  • Kaggle
bert_model / runs
37.2 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
pnskmj1017's picture
pnskmj1017
sssey
f74bbae verified over 1 year ago
  • Feb17_06-24-33_93b23b7ca65a
    sssey over 1 year ago
  • Feb17_06-59-26_e1b7149cb56e
    sssey over 1 year ago