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:
- 853dcf79ad31e36b55e7101aad3b32e954637872386c66557102ceef57cc82cd
- Size of remote file:
- 443 MB
- SHA256:
- 4d48df002d10a07a52ccab7e028d44bcbd9dae2c5f8f5c5fe019ad138fbe0dd6
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