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Denyol
/
FakeNews-deberta-base

Text Classification
Transformers
PyTorch
deberta
Generated from Trainer
Model card Files Files and versions
xet
Community
3

Instructions to use Denyol/FakeNews-deberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Denyol/FakeNews-deberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Denyol/FakeNews-deberta-base")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Denyol/FakeNews-deberta-base")
    model = AutoModelForSequenceClassification.from_pretrained("Denyol/FakeNews-deberta-base", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
FakeNews-deberta-base
1.12 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
b1d3c78 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 3 years ago
  • README.md
    1.62 kB
    End of training about 3 years ago
  • config.json
    891 Bytes
    Training in progress, epoch 1 about 3 years ago
  • merges.txt
    456 kB
    Training in progress, epoch 1 about 3 years ago
  • model.safetensors
    557 MB
    xet
    Adding `safetensors` variant of this model almost 2 years ago
  • pytorch_model.bin
    557 MB
    xet
    Training in progress, epoch 5 about 3 years ago
  • special_tokens_map.json
    969 Bytes
    Training in progress, epoch 1 about 3 years ago
  • tokenizer.json
    2.11 MB
    Training in progress, epoch 1 about 3 years ago
  • tokenizer_config.json
    1.28 kB
    Training in progress, epoch 1 about 3 years ago
  • training_args.bin
    4.54 kB
    xet
    Training in progress, epoch 1 about 3 years ago
  • vocab.json
    798 kB
    Training in progress, epoch 1 about 3 years ago