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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a4afe6380576bafd53b2abffd7bf40c47f31941fe042b1ef12ab4d7b1034b22
- Size of remote file:
- 443 MB
- SHA256:
- 51b4b6cccbc0e9e553d24ca0bdf74518fe7e8b6344a9e93b8a7ae151182bde8f
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