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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 538849e7cbbc4da246065e80c145a9e2380651d741af703003dd179b571c4a0d
- Size of remote file:
- 442 MB
- SHA256:
- 7c9845c0fac6b789f6d8796a0c9f77875eecfdfc57e244709057f535cbb633c3
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