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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tolgadev/TurkishAirlines-SentimentAnalysisModel") model = AutoModelForSequenceClassification.from_pretrained("tolgadev/TurkishAirlines-SentimentAnalysisModel") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a880536f472674f0f25ff09f1bb3347d5fdd5eec82eb109e7190db049a4f0c5
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size 429674276
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