Text Classification
Transformers
PyTorch
Turkish
bert
Text Classification
Transformers
turkish
text-embeddings-inference
Instructions to use Marzu39/bert-turkish-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Marzu39/bert-turkish-text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Marzu39/bert-turkish-text-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Marzu39/bert-turkish-text-classification") model = AutoModelForSequenceClassification.from_pretrained("Marzu39/bert-turkish-text-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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tokenizer = AutoTokenizer.from_pretrained("Marzu39/bert-turkish-text-classification")
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model = AutoModelForSequenceClassification.from_pretrained("Marzu39/bert-turkish-text-classification")
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#### Summary
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Sentiment classification based on Transformers is a topic that has recently been widely studied in
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tokenizer = AutoTokenizer.from_pretrained("Marzu39/bert-turkish-text-classification")
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model = AutoModelForSequenceClassification.from_pretrained("Marzu39/bert-turkish-text-classification")
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```
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#### Summary
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Sentiment classification based on Transformers is a topic that has recently been widely studied in
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