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VTKK
/
phobert-sentiment-analysis

Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use VTKK/phobert-sentiment-analysis with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="VTKK/phobert-sentiment-analysis")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("VTKK/phobert-sentiment-analysis")
    model = AutoModelForSequenceClassification.from_pretrained("VTKK/phobert-sentiment-analysis", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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Gated model
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Preview of files found in this repository
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    2.47 kB
    Upload phobert-sentiment model about 1 year ago
  • added_tokens.json
    22 Bytes
    Training in progress, epoch 1 about 1 year ago
  • bpe.codes
    1.14 MB
    Training in progress, epoch 1 about 1 year ago
  • config.json
    850 Bytes
    Training in progress, epoch 1 about 1 year ago
  • model.safetensors
    540 MB
    xet
    Training in progress, epoch 5 about 1 year ago
  • special_tokens_map.json
    167 Bytes
    Training in progress, epoch 1 about 1 year ago
  • tokenizer_config.json
    1.2 kB
    Training in progress, epoch 1 about 1 year ago
  • training_args.bin
    5.43 kB
    xet
    Training in progress, epoch 1 about 1 year ago
  • vocab.txt
    895 kB
    Training in progress, epoch 1 about 1 year ago