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WSHAPER
/
distilbert-multilingual-dialogue-act-classifier

Text Classification
Transformers
Safetensors
English
German
Russian
distilbert
dialogue-act-classification
multilingual
conversational-ai
asr
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use WSHAPER/distilbert-multilingual-dialogue-act-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use WSHAPER/distilbert-multilingual-dialogue-act-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="WSHAPER/distilbert-multilingual-dialogue-act-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("WSHAPER/distilbert-multilingual-dialogue-act-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("WSHAPER/distilbert-multilingual-dialogue-act-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
distilbert-multilingual-dialogue-act-classifier
545 MB
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  • 1 contributor
History: 2 commits
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WSHAPER
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  • .gitattributes
    1.52 kB
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  • README.md
    3.28 kB
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  • config.json
    795 Bytes
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  • label_map.json
    79 Bytes
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  • model.safetensors
    541 MB
    xet
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    2.92 MB
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  • tokenizer_config.json
    1.42 kB
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  • training_config.json
    271 Bytes
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  • vocab.txt
    996 kB
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