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alpha34727
/
laya-multilingual-TW-IME

Text Classification
Transformers
ONNX
Safetensors
Laya
Chinese
mmbert
traditional-chinese
zh-tw
taiwan
input-method
bopomofo
reranking
Model card Files Files and versions
xet
Community

Instructions to use alpha34727/laya-multilingual-TW-IME with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use alpha34727/laya-multilingual-TW-IME with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="alpha34727/laya-multilingual-TW-IME")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("alpha34727/laya-multilingual-TW-IME", device_map="auto")
  • Laya

    How to use alpha34727/laya-multilingual-TW-IME with Laya:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Notebooks
  • Google Colab
  • Kaggle
laya-multilingual-TW-IME / tokenizer
34.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
alpha34727's picture
alpha34727
laya-multilingual-TW-IME: candidate ranker trained on freely reusable data
fcc077e verified 24 days ago
  • tokenizer.json
    34.4 MB
    xet
    laya-multilingual-TW-IME: candidate ranker trained on freely reusable data 24 days ago
  • tokenizer_config.json
    648 Bytes
    laya-multilingual-TW-IME: candidate ranker trained on freely reusable data 24 days ago