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aehrm
/
moderngbert-redewiedergabe

Token Classification
PEFT
Safetensors
Transformers
lora
Model card Files Files and versions
xet
Community

Instructions to use aehrm/moderngbert-redewiedergabe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use aehrm/moderngbert-redewiedergabe with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForTokenClassification
    
    base_model = AutoModelForTokenClassification.from_pretrained("LSX-UniWue/ModernGBERT_1B")
    model = PeftModel.from_pretrained(base_model, "aehrm/moderngbert-redewiedergabe")
  • Transformers

    How to use aehrm/moderngbert-redewiedergabe with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="aehrm/moderngbert-redewiedergabe")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("aehrm/moderngbert-redewiedergabe", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
moderngbert-redewiedergabe
24.2 MB
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  • 1 contributor
History: 5 commits
aehrm's picture
aehrm
add license
ba7390e verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    6.19 kB
    add license 2 months ago
  • adapter_config.json
    893 Bytes
    add model 11 months ago
  • adapter_model.safetensors
    23.3 MB
    xet
    add model 11 months ago
  • special_tokens_map.json
    695 Bytes
    add model 11 months ago
  • tokenizer.json
    729 kB
    add model 11 months ago
  • tokenizer_config.json
    1.36 kB
    add model 11 months ago
  • training_args.bin
    5.84 kB
    xet
    add model 11 months ago
  • vocab.txt
    240 kB
    add model 11 months ago