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phuongntc
/
RLHF_ref2_vietbase_sum_4000

Text Classification
Transformers
Safetensors
t5
Model card Files Files and versions
xet
Community

Instructions to use phuongntc/RLHF_ref2_vietbase_sum_4000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use phuongntc/RLHF_ref2_vietbase_sum_4000 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="phuongntc/RLHF_ref2_vietbase_sum_4000")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("phuongntc/RLHF_ref2_vietbase_sum_4000")
    model = AutoModelForSequenceClassification.from_pretrained("phuongntc/RLHF_ref2_vietbase_sum_4000")
  • Notebooks
  • Google Colab
  • Kaggle
RLHF_ref2_vietbase_sum_4000
909 MB
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  • 1 contributor
History: 3 commits
phuongntc's picture
phuongntc
Upload tokenizer
a644502 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload T5ForSequenceClassification over 1 year ago
  • config.json
    809 Bytes
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  • model.safetensors
    906 MB
    xet
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  • special_tokens_map.json
    2.46 kB
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  • spiece.model
    820 kB
    xet
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  • tokenizer.json
    2.42 MB
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  • tokenizer_config.json
    20.2 kB
    Upload tokenizer over 1 year ago