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LanShao0731
/
pectics-text-vad

Text Classification
Transformers
Safetensors
Chinese
bert
agent
nlp
chinese
sentiment-analysis
emotion
regression
vad
valence-arousal-dominance
macbert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use LanShao0731/pectics-text-vad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LanShao0731/pectics-text-vad with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="LanShao0731/pectics-text-vad")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("LanShao0731/pectics-text-vad")
    model = AutoModelForSequenceClassification.from_pretrained("LanShao0731/pectics-text-vad")
  • Notebooks
  • Google Colab
  • Kaggle
pectics-text-vad
410 MB
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  • 1 contributor
History: 2 commits
LanShao0731's picture
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  • .gitattributes
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  • .lfsconfig
    67 Bytes
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  • LICENSE
    1.06 kB
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  • README.md
    4.8 kB
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  • README_zh.md
    4.16 kB
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  • config.json
    1.01 kB
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  • model.safetensors
    409 MB
    xet
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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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  • training_args.json
    729 Bytes
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  • vocab.txt
    110 kB
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