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akaruineko
/
qltan-1.0

Text Classification
Transformers
Safetensors
English
distilbert
human-vs-machine
synthetic-data-detection
data-quality
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use akaruineko/qltan-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use akaruineko/qltan-1.0 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="akaruineko/qltan-1.0")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("akaruineko/qltan-1.0")
    model = AutoModelForSequenceClassification.from_pretrained("akaruineko/qltan-1.0", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
qltan-1.0
269 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
akaruineko's picture
akaruineko
Update README.md
5951189 verified 1 day ago
  • .gitattributes
    1.52 kB
    initial commit 1 day ago
  • README.md
    5.66 kB
    Update README.md 1 day ago
  • config.json
    926 Bytes
    Training in progress, epoch 1 1 day ago
  • label_names.json
    83 Bytes
    End of training 1 day ago
  • model.safetensors
    268 MB
    xet
    Training in progress, epoch 3 1 day ago
  • tokenizer.json
    711 kB
    Training in progress, epoch 1 1 day ago
  • tokenizer_config.json
    351 Bytes
    Training in progress, epoch 1 1 day ago
  • training_args.bin
    5.27 kB
    xet
    Training in progress, epoch 1 1 day ago