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SushantGautam
/
LogClassification

Text Classification
Transformers
PyTorch
canine
Generated from Trainer
Model card Files Files and versions
xet
Community
5

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

  • Libraries
  • Transformers

    How to use SushantGautam/LogClassification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SushantGautam/LogClassification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SushantGautam/LogClassification")
    model = AutoModelForSequenceClassification.from_pretrained("SushantGautam/LogClassification")
  • Notebooks
  • Google Colab
  • Kaggle
LogClassification
1.08 GB
Ctrl+K
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  • 1 contributor
History: 79 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
4c70118 over 2 years ago
  • .gitattributes
    1.28 kB
    Adding `safetensors` variant of this model over 2 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 500 almost 4 years ago
  • README.md
    1.03 kB
    update model card README.md almost 4 years ago
  • all_results.json
    196 Bytes
    End of training almost 4 years ago
  • config.json
    894 Bytes
    Training in progress, step 500 almost 4 years ago
  • model.safetensors
    528 MB
    xet
    Adding `safetensors` variant of this model over 2 years ago
  • pytorch_model.bin
    529 MB
    xet
    Model save almost 4 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Training in progress, step 500 almost 4 years ago
  • special_tokens_map.json
    816 Bytes
    Training in progress, step 500 almost 4 years ago
  • tokenizer.json
    17.1 MB
    xet
    Training in progress, step 500 almost 4 years ago
  • tokenizer_config.json
    1.33 kB
    Training in progress, step 500 almost 4 years ago
  • train_results.json
    196 Bytes
    End of training almost 4 years ago
  • trainer_state.json
    1.31 MB
    End of training almost 4 years ago
  • training_args.bin
    3.38 kB
    xet
    Training in progress, step 500 almost 4 years ago
  • vocab.txt
    213 kB
    Training in progress, step 500 almost 4 years ago