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msamilim
/
mdeberta-v3-turkish-sentiment-optuna-hpo

Text Classification
Transformers
Safetensors
Turkish
deberta-v2
sentiment-analysis
turkish
optuna
finetune
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use msamilim/mdeberta-v3-turkish-sentiment-optuna-hpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use msamilim/mdeberta-v3-turkish-sentiment-optuna-hpo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="msamilim/mdeberta-v3-turkish-sentiment-optuna-hpo")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("msamilim/mdeberta-v3-turkish-sentiment-optuna-hpo")
    model = AutoModelForSequenceClassification.from_pretrained("msamilim/mdeberta-v3-turkish-sentiment-optuna-hpo")
  • Notebooks
  • Google Colab
  • Kaggle
mdeberta-v3-turkish-sentiment-optuna-hpo
1.13 GB
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  • 1 contributor
History: 6 commits
msamilim's picture
msamilim
Update README.md
51e3088 verified 6 months ago
  • .gitattributes
    1.57 kB
    Upload tokenizer 8 months ago
  • README.md
    6 kB
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  • config.json
    992 Bytes
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  • model.safetensors
    1.12 GB
    xet
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  • special_tokens_map.json
    970 Bytes
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  • tokenizer.json
    16.3 MB
    xet
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  • tokenizer_config.json
    19.7 kB
    Upload tokenizer 8 months ago