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LightFury9
/
out

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

Instructions to use LightFury9/out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LightFury9/out with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="LightFury9/out")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("LightFury9/out")
    model = AutoModelForSequenceClassification.from_pretrained("LightFury9/out")
  • Notebooks
  • Google Colab
  • Kaggle
out / runs
12 kB
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  • 1 contributor
History: 1 commit
LightFury9's picture
LightFury9
LightFury9/dsc253_kaggle_c_bert_1
5e03be0 verified over 1 year ago
  • Nov17_01-33-30_4098f4562192
    LightFury9/dsc253_kaggle_c_bert_1 over 1 year ago
  • Nov17_01-36-33_4098f4562192
    LightFury9/dsc253_kaggle_c_bert_1 over 1 year ago