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thnhan3
/
phobert-vsfb-sentiment-base

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

Instructions to use thnhan3/phobert-vsfb-sentiment-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use thnhan3/phobert-vsfb-sentiment-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="thnhan3/phobert-vsfb-sentiment-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("thnhan3/phobert-vsfb-sentiment-base")
    model = AutoModelForSequenceClassification.from_pretrained("thnhan3/phobert-vsfb-sentiment-base")
  • Notebooks
  • Google Colab
  • Kaggle
phobert-vsfb-sentiment-base
542 MB
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  • 1 contributor
History: 3 commits
thnhan3's picture
thnhan3
Upload tokenizer
e81a2c4 verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    5.17 kB
    Upload model 6 months ago
  • added_tokens.json
    22 Bytes
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  • bpe.codes
    1.14 MB
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  • config.json
    928 Bytes
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  • model.safetensors
    540 MB
    xet
    Upload model 6 months ago
  • special_tokens_map.json
    965 Bytes
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  • tokenizer_config.json
    1.2 kB
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  • vocab.txt
    895 kB
    Upload tokenizer 6 months ago