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Ashybalka
/
xlm-roberta-taxonomy-main-de

Text Classification
Transformers
ONNX
Safetensors
German
xlm-roberta
job-classification
german
taxonomy-main
text-embeddings-inference
Model card Files Files and versions
xet
Community
5

Instructions to use Ashybalka/xlm-roberta-taxonomy-main-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ashybalka/xlm-roberta-taxonomy-main-de with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Ashybalka/xlm-roberta-taxonomy-main-de")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Ashybalka/xlm-roberta-taxonomy-main-de")
    model = AutoModelForSequenceClassification.from_pretrained("Ashybalka/xlm-roberta-taxonomy-main-de", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
xlm-roberta-taxonomy-main-de
2.53 GB
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  • 1 contributor
History: 13 commits
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Ashybalka
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  • .gitattributes
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  • README.md
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  • classification_report.txt
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  • config.json
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  • sentencepiece.bpe.model
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  • special_tokens_map.json
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  • test_metrics.json
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  • tokenizer.json
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  • tokenizer_config.json
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