Instructions to use savasy/bert-turkish-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use savasy/bert-turkish-text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="savasy/bert-turkish-text-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("savasy/bert-turkish-text-classification") model = AutoModelForSequenceClassification.from_pretrained("savasy/bert-turkish-text-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de7c2838d6e840a12a84489f4287b6afaa0fefef0f0c928533c6278181000de0
- Size of remote file:
- 443 MB
- SHA256:
- cd0c340c3916da0dd5b723b3aaa62b37208257558aa43cf851271d2068c29498
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