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melawati
/
pondok-melawati-tashkeel-utama

Token Classification
Transformers
Safetensors
Malay
Arabic
bert
arabic
tashkeel
diacritization
bahasa-melayu
arabic-nlp
pondok-melawati
Model card Files Files and versions
xet
Community

Instructions to use melawati/pondok-melawati-tashkeel-utama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use melawati/pondok-melawati-tashkeel-utama with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="melawati/pondok-melawati-tashkeel-utama")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("melawati/pondok-melawati-tashkeel-utama")
    model = AutoModelForTokenClassification.from_pretrained("melawati/pondok-melawati-tashkeel-utama", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
pondok-melawati-tashkeel-utama
541 MB
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  • 1 contributor
History: 5 commits
misyaz's picture
misyaz
baik pulih README dan metadata
dc49409 verified 3 months ago
  • .gitattributes
    784 Bytes
    Add Git LFS attributes 3 months ago
  • README.md
    2.28 kB
    baik pulih README dan metadata 3 months ago
  • config.json
    3.09 kB
    Upload Pondok Melawati model artifacts 3 months ago
  • model.safetensors
    538 MB
    xet
    Upload Pondok Melawati model artifacts 3 months ago
  • special_tokens_map.json
    695 Bytes
    Upload Pondok Melawati model artifacts 3 months ago
  • tokenizer.json
    1.78 MB
    Upload Pondok Melawati model artifacts 3 months ago
  • tokenizer_config.json
    1.93 kB
    Upload Pondok Melawati model artifacts 3 months ago
  • vocab.txt
    761 kB
    Upload Pondok Melawati model artifacts 3 months ago