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ChrisLalk
/
German-Emotions

Text Classification
Transformers
Safetensors
German
xlm-roberta
medical
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use ChrisLalk/German-Emotions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ChrisLalk/German-Emotions with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ChrisLalk/German-Emotions")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ChrisLalk/German-Emotions")
    model = AutoModelForSequenceClassification.from_pretrained("ChrisLalk/German-Emotions", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
German-Emotions
1.13 GB
Ctrl+K
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  • 1 contributor
History: 47 commits
ChrisLalk's picture
ChrisLalk
Update README.md
b99c911 verified about 1 year ago
  • .gitattributes
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  • README.md
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  • config.json
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  • model.safetensors
    1.11 GB
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  • sentencepiece.bpe.model
    5.07 MB
    xet
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  • special_tokens_map.json
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  • tokenizer.json
    17.1 MB
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  • tokenizer_config.json
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  • training_args.bin
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