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dafqi
/
DistilBERT-Hoax-Detection

Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use dafqi/DistilBERT-Hoax-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dafqi/DistilBERT-Hoax-Detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="dafqi/DistilBERT-Hoax-Detection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("dafqi/DistilBERT-Hoax-Detection")
    model = AutoModelForSequenceClassification.from_pretrained("dafqi/DistilBERT-Hoax-Detection")
  • Notebooks
  • Google Colab
  • Kaggle
DistilBERT-Hoax-Detection / runs
161 kB
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  • 3 contributors
History: 21 commits
dafqi's picture
dafqi
End of Training
00d94de almost 3 years ago
  • Sep02_06-03-08_1caa0be82f11
    Training in progress, step 93 almost 3 years ago
  • Sep02_06-11-20_1caa0be82f11
    End of Training almost 3 years ago