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FutureMa
/
stance_ch

Text Classification
Transformers
Safetensors
PyTorch
Chinese
bert
fill-mask
chinese
stance-analysis
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use FutureMa/stance_ch with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="FutureMa/stance_ch")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("FutureMa/stance_ch")
    model = AutoModelForMaskedLM.from_pretrained("FutureMa/stance_ch")
  • Notebooks
  • Google Colab
  • Kaggle
stance_ch
409 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
FutureMa's picture
FutureMa
Upload stance analysis model - 2025-09-07 23:28:46
1f2b36b verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    3.2 kB
    Upload stance analysis model - 2025-09-07 23:28:46 10 months ago
  • config.json
    953 Bytes
    Upload stance analysis model - 2025-09-07 23:28:46 10 months ago
  • model.safetensors
    409 MB
    xet
    Upload stance analysis model - 2025-09-07 23:28:46 10 months ago
  • special_tokens_map.json
    125 Bytes
    Upload stance analysis model - 2025-09-07 23:28:46 10 months ago
  • tokenizer_config.json
    1.27 kB
    Upload stance analysis model - 2025-09-07 23:28:46 10 months ago
  • vocab.txt
    110 kB
    Upload stance analysis model - 2025-09-07 23:28:46 10 months ago