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juliensimon
/
reviews-sentiment-analysis

Text Classification
Transformers
PyTorch
Safetensors
English
distilbert
sentiment-analysis
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use juliensimon/reviews-sentiment-analysis with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="juliensimon/reviews-sentiment-analysis")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("juliensimon/reviews-sentiment-analysis")
    model = AutoModelForSequenceClassification.from_pretrained("juliensimon/reviews-sentiment-analysis")
  • Notebooks
  • Google Colab
  • Kaggle
reviews-sentiment-analysis / code
17.2 kB
Ctrl+K
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  • 4 contributors
History: 2 commits
Julien Simon
Update version numbers
7086631 about 4 years ago
  • Sentiment analysis with Hugging Face and SageMaker.ipynb
    13.5 kB
    Update version numbers about 4 years ago
  • train.py
    3.63 kB
    Initial version over 4 years ago