Instructions to use akdeniz27/bert-turkish-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akdeniz27/bert-turkish-text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="akdeniz27/bert-turkish-text-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("akdeniz27/bert-turkish-text-classification") model = AutoModelForSequenceClassification.from_pretrained("akdeniz27/bert-turkish-text-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12f646276726acf2e3ceaa399ab5e67c4b9c5e7b7a058f7a98906885fff95e96
- Size of remote file:
- 3.12 kB
- SHA256:
- 0f76d6f40046d71c91c87ee28787e0f8e78573558ba21167ef672172222b3db4
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