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ducdatit2002
/
X-MERLIN

Text Classification
Transformers
Safetensors
Vietnamese
speech-emotion-recognition
audio-classification
multimodal
Model card Files Files and versions
xet
Community

Instructions to use ducdatit2002/X-MERLIN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ducdatit2002/X-MERLIN with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ducdatit2002/X-MERLIN")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ducdatit2002/X-MERLIN", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • added_tokens.json
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  • bpe.codes
    1.14 MB
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  • config.json
    1.12 kB
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  • id2label.json
    140 Bytes
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  • model.safetensors
    540 MB
    xet
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  • special_tokens_map.json
    167 Bytes
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  • tokenizer_config.json
    1.17 kB
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  • vocab.txt
    895 kB
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