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tmanh217
/
hlk-vit5

Summarization
Transformers
Safetensors
Vietnamese
t5
text2text-generation
vit5
vietnamese
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use tmanh217/hlk-vit5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tmanh217/hlk-vit5 with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" 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("summarization", model="tmanh217/hlk-vit5")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("tmanh217/hlk-vit5")
    model = AutoModelForSeq2SeqLM.from_pretrained("tmanh217/hlk-vit5", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
hlk-vit5
906 MB
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  • 1 contributor
History: 3 commits
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tmanh217
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  • .gitattributes
    1.52 kB
    initial commit 4 days ago
  • README.md
    673 Bytes
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  • config.json
    846 Bytes
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  • generation_config.json
    161 Bytes
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  • hlk_pipeline_config.json
    181 Bytes
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  • model.safetensors
    904 MB
    xet
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  • tokenizer.json
    2.25 MB
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  • tokenizer_config.json
    2.57 kB
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  • training_args.bin
    5.33 kB
    xet
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