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hayatiali
/
emotion-tr

Text Classification
Transformers
Safetensors
Turkish
bert
turkish
nlp
siriusai
production-ready
enterprise
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use hayatiali/emotion-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hayatiali/emotion-tr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="hayatiali/emotion-tr")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("hayatiali/emotion-tr")
    model = AutoModelForSequenceClassification.from_pretrained("hayatiali/emotion-tr")
  • Notebooks
  • Google Colab
  • Kaggle
emotion-tr / benchmark
66.5 kB
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  • 1 contributor
History: 1 commit
hayatiali's picture
hayatiali
Upload model via Fine-tune Assistant
2c6d2a9 verified 5 months ago
  • adversarial_samples.csv
    16.1 kB
    Upload model via Fine-tune Assistant 5 months ago
  • benchmark_results.json
    50.4 kB
    Upload model via Fine-tune Assistant 5 months ago