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MultiSense
/
SaleIntent_bert

Text Classification
Transformers
Safetensors
Chinese
English
bert
sales
intent-classification
dialogue
evaluation
Model card Files Files and versions
xet
Community
1

Instructions to use MultiSense/SaleIntent_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MultiSense/SaleIntent_bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="MultiSense/SaleIntent_bert")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("MultiSense/SaleIntent_bert", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SaleIntent_bert / zh
410 MB
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  • 1 contributor
History: 1 commit
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xuanbo
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  • .msc
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  • .mv
    36 Bytes
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  • README.md
    211 Bytes
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  • config.json
    1.08 kB
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  • configuration.json
    41 Bytes
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  • model.safetensors
    409 MB
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  • rng_state.pth
    14.2 kB
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  • scheduler.pt
    1.06 kB
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    439 kB
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  • tokenizer_config.json
    1.25 kB
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  • trainer_state.json
    4.47 kB
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  • training_args.bin
    5.24 kB
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  • vocab.txt
    110 kB
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