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AlanCantoFTW
/
ProKope-421M

Text Classification
Transformers
Safetensors
English
modernbert
fill-mask
prokope
system-one
calibrated-decisions
typed-decisions
rlcd
agent-observability
security-incidents
invoice-processing
customer-service
slerp-manifold-fusion
Eval Results (legacy)
Eval Results
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use AlanCantoFTW/ProKope-421M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AlanCantoFTW/ProKope-421M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="AlanCantoFTW/ProKope-421M")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("AlanCantoFTW/ProKope-421M")
    model = AutoModelForMaskedLM.from_pretrained("AlanCantoFTW/ProKope-421M", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • config.json
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  • demo_prokope_inference.py
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  • tokenizer_config.json
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