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VTSNLP
/
BERT-sentiment-classifier

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

Instructions to use VTSNLP/BERT-sentiment-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use VTSNLP/BERT-sentiment-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="VTSNLP/BERT-sentiment-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("VTSNLP/BERT-sentiment-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("VTSNLP/BERT-sentiment-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
BERT-sentiment-classifier
535 MB
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  • 1 contributor
History: 3 commits
VTSNLP's picture
VTSNLP
Upload BertForSequenceClassification
a76999b verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload tokenizer over 1 year ago
  • config.json
    1.04 kB
    Upload BertForSequenceClassification over 1 year ago
  • model.safetensors
    535 MB
    xet
    Upload BertForSequenceClassification over 1 year ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer over 1 year ago
  • tokenizer_config.json
    1.26 kB
    Upload tokenizer over 1 year ago
  • vocab.txt
    411 kB
    Upload tokenizer over 1 year ago