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madmancity
/
bert1

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

Instructions to use madmancity/bert1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use madmancity/bert1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="madmancity/bert1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("madmancity/bert1")
    model = AutoModelForSequenceClassification.from_pretrained("madmancity/bert1")
  • Notebooks
  • Google Colab
  • Kaggle
bert1
269 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
madmancity's picture
madmancity
Training in progress, epoch 2
24a5ec3 about 3 years ago
  • runs
    Training in progress, epoch 2 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 1 about 3 years ago
  • config.json
    769 Bytes
    Training in progress, epoch 1 about 3 years ago
  • pytorch_model.bin
    268 MB
    xet
    Training in progress, epoch 2 about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, epoch 1 about 3 years ago
  • tokenizer.json
    711 kB
    Training in progress, epoch 1 about 3 years ago
  • tokenizer_config.json
    315 Bytes
    Training in progress, epoch 1 about 3 years ago
  • training_args.bin
    3.58 kB
    xet
    Training in progress, epoch 1 about 3 years ago
  • vocab.txt
    232 kB
    Training in progress, epoch 1 about 3 years ago