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dannykellett
/
t1-operations-ModernBERT-base

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

Instructions to use dannykellett/t1-operations-ModernBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dannykellett/t1-operations-ModernBERT-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="dannykellett/t1-operations-ModernBERT-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("dannykellett/t1-operations-ModernBERT-base")
    model = AutoModelForSequenceClassification.from_pretrained("dannykellett/t1-operations-ModernBERT-base", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
t1-operations-ModernBERT-base
4.19 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
dannykellett's picture
dannykellett
Create README.md
58cd298 verified over 1 year ago
  • checkpoint-36
    Fine-tuned and uploaded model. over 1 year ago
  • checkpoint-45
    Fine-tuned and uploaded model. over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    499 Bytes
    Create README.md over 1 year ago
  • config.json
    1.38 kB
    Fine-tuned and uploaded model. over 1 year ago
  • model.safetensors
    598 MB
    xet
    Fine-tuned and uploaded model. over 1 year ago
  • special_tokens_map.json
    731 Bytes
    Fine-tuned and uploaded model. over 1 year ago
  • tokenizer.json
    3.58 MB
    Fine-tuned and uploaded model. over 1 year ago
  • tokenizer_config.json
    21.8 kB
    Fine-tuned and uploaded model. over 1 year ago