Text Classification
Transformers
PyTorch
Safetensors
Turkish
English
convbert
Trained with AutoTrain
Instructions to use tolgadev/TurkishAirlines-SentimentAnalysisModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tolgadev/TurkishAirlines-SentimentAnalysisModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tolgadev/TurkishAirlines-SentimentAnalysisModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tolgadev/TurkishAirlines-SentimentAnalysisModel") model = AutoModelForSequenceClassification.from_pretrained("tolgadev/TurkishAirlines-SentimentAnalysisModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (a69c27f30e9502fe76c918a8f8b54c8934c33282) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>1f4d38b
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Commit From AutoTrain
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initial commit
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