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YU-JEONG
/
model_output

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

Instructions to use YU-JEONG/model_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use YU-JEONG/model_output with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="YU-JEONG/model_output")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("YU-JEONG/model_output")
    model = AutoModelForSequenceClassification.from_pretrained("YU-JEONG/model_output")
  • Notebooks
  • Google Colab
  • Kaggle
model_output
437 MB
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  • 1 contributor
History: 2 commits
YU-JEONG's picture
YU-JEONG
jyj
8d9e9ee verified over 1 year ago
  • runs
    jyj over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.64 kB
    jyj over 1 year ago
  • config.json
    1.3 kB
    jyj over 1 year ago
  • model.safetensors
    436 MB
    xet
    jyj over 1 year ago
  • special_tokens_map.json
    125 Bytes
    jyj over 1 year ago
  • tokenizer.json
    721 kB
    jyj over 1 year ago
  • tokenizer_config.json
    1.24 kB
    jyj over 1 year ago
  • training_args.bin
    5.18 kB
    xet
    jyj over 1 year ago
  • vocab.txt
    250 kB
    jyj over 1 year ago