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DayCardoso
/
modern-bert-seq-class-values-no-context

Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use DayCardoso/modern-bert-seq-class-values-no-context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DayCardoso/modern-bert-seq-class-values-no-context with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="DayCardoso/modern-bert-seq-class-values-no-context")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("DayCardoso/modern-bert-seq-class-values-no-context")
    model = AutoModelForSequenceClassification.from_pretrained("DayCardoso/modern-bert-seq-class-values-no-context", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
modern-bert-seq-class-values-no-context
602 MB
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  • 1 contributor
History: 36 commits
DayCardoso's picture
DayCardoso
Model save
8359027 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    4.43 kB
    Model save over 1 year ago
  • config.json
    2.43 kB
    Training in progress, step 767 over 1 year ago
  • model.safetensors
    598 MB
    xet
    Model save over 1 year ago
  • special_tokens_map.json
    694 Bytes
    Model save over 1 year ago
  • tokenizer.json
    3.58 MB
    Model save over 1 year ago
  • tokenizer_config.json
    20.8 kB
    Model save over 1 year ago
  • training_args.bin
    5.43 kB
    xet
    Training in progress, step 767 over 1 year ago