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kaixinwang
/
NLP

Text Classification
Transformers
google-tensorflow TensorFlow
distilbert
sentiment analysis
STEM
text classification
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use kaixinwang/NLP with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="kaixinwang/NLP")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("kaixinwang/NLP")
    model = AutoModelForSequenceClassification.from_pretrained("kaixinwang/NLP")
  • Notebooks
  • Google Colab
  • Kaggle
NLP
268 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
kaixinwang's picture
kaixinwang
Update README.md
524a3f0 about 4 years ago
  • .gitattributes
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    initial commit over 4 years ago
  • README.md
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  • config.json
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  • special_tokens_map.json
    112 Bytes
    Added tokenizer files. over 4 years ago
  • tf_model.h5
    268 MB
    xet
    Added file. over 4 years ago
  • tokenizer_config.json
    570 Bytes
    Added tokenizer files. over 4 years ago
  • vocab.txt
    232 kB
    Added tokenizer files. over 4 years ago