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juliaromberg
/
distilbert-base-german-cased_cimt-argument-type

Text Classification
Transformers
Safetensors
German
distilbert
public participation
text classification
argument mining
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use juliaromberg/distilbert-base-german-cased_cimt-argument-type with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use juliaromberg/distilbert-base-german-cased_cimt-argument-type with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="juliaromberg/distilbert-base-german-cased_cimt-argument-type")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("juliaromberg/distilbert-base-german-cased_cimt-argument-type")
    model = AutoModelForSequenceClassification.from_pretrained("juliaromberg/distilbert-base-german-cased_cimt-argument-type", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
distilbert-base-german-cased_cimt-argument-type
271 MB
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  • 1 contributor
History: 5 commits
juliaromberg's picture
juliaromberg
Update config.json
f498426 verified over 2 years ago
  • .gitattributes
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  • README.md
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  • config.json
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  • model.safetensors
    270 MB
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    729 kB
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  • tokenizer_config.json
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  • training_args.bin
    4.54 kB
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  • vocab.txt
    240 kB
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