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reallycarlaost
/
finetuning-tut-model

Text Classification
Transformers
PyTorch
TensorBoard
bert
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use reallycarlaost/finetuning-tut-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use reallycarlaost/finetuning-tut-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="reallycarlaost/finetuning-tut-model")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("reallycarlaost/finetuning-tut-model")
    model = AutoModelForSequenceClassification.from_pretrained("reallycarlaost/finetuning-tut-model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
finetuning-tut-model
434 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
reallycarlaost's picture
reallycarlaost
Upload tokenizer_config.json
aa5e36b over 4 years ago
  • runs
    End of training over 4 years ago
  • .gitattributes
    1.17 kB
    initial commit over 4 years ago
  • .gitignore
    13 Bytes
    End of training over 4 years ago
  • config.json
    955 Bytes
    End of training over 4 years ago
  • pytorch_model.bin
    433 MB
    xet
    End of training over 4 years ago
  • tokenizer.json
    436 kB
    Upload tokenizer.json over 4 years ago
  • tokenizer_config.json
    29 Bytes
    Upload tokenizer_config.json over 4 years ago
  • training_args.bin
    3.06 kB
    xet
    End of training over 4 years ago