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hasmar03
/
mt5_id2md

Translation
Transformers
Safetensors
Indonesian
Mandar
mt5
text2text-generation
seq2seq
indonesian
mandar
id-mdr
Model card Files Files and versions
xet
Community

Instructions to use hasmar03/mt5_id2md with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hasmar03/mt5_id2md with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "translation" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("translation", model="hasmar03/mt5_id2md")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("hasmar03/mt5_id2md")
    model = AutoModelForSeq2SeqLM.from_pretrained("hasmar03/mt5_id2md")
  • Notebooks
  • Google Colab
  • Kaggle
mt5_id2md
1.22 GB
Ctrl+K
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  • 1 contributor
History: 7 commits
hasmar03's picture
hasmar03
Upload 7 files
bd25704 verified 7 months ago
  • .gitattributes
    1.57 kB
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  • README.md
    516 Bytes
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  • config.json
    758 Bytes
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  • generation_config.json
    164 Bytes
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  • model.safetensors
    1.2 GB
    xet
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  • special_tokens_map.json
    416 Bytes
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  • spiece.model
    4.31 MB
    xet
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  • tokenizer.json
    16.4 MB
    xet
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  • tokenizer_config.json
    19.3 kB
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