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enesgerem
/
airline-sentiment-models

Text Classification
Transformers
Safetensors
English
sentiment-analysis
airline
thesis
Model card Files Files and versions
xet
Community

Instructions to use enesgerem/airline-sentiment-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use enesgerem/airline-sentiment-models with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="enesgerem/airline-sentiment-models")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("enesgerem/airline-sentiment-models", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
airline-sentiment-models / bert
3.07 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
enesgerem's picture
enesgerem
Add bert/twitter+skytrax+tripadvisor checkpoint
6d06a7c verified 4 days ago
  • skytrax+tripadvisor
    Add bert/skytrax+tripadvisor checkpoint 4 days ago
  • skytrax
    Add bert/skytrax checkpoint 4 days ago
  • tripadvisor
    Add bert/tripadvisor checkpoint 4 days ago
  • twitter+skytrax+tripadvisor
    Add bert/twitter+skytrax+tripadvisor checkpoint 4 days ago
  • twitter+skytrax
    Add bert/twitter+skytrax checkpoint 4 days ago
  • twitter+tripadvisor
    Add bert/twitter+tripadvisor checkpoint 4 days ago
  • twitter
    Add bert/twitter checkpoint 4 days ago