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:
- 23022b1475cb1bd53c103084843867a92fe7a486b195a1d123ebd42852cc55b7
- Size of remote file:
- 443 MB
- SHA256:
- 22006eb2ec879f4bcb83debbb2dfa7a02bf98ec86eb75da2530bac9bc322836e
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