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")# pip install -U transformers accelerate # 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
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- Adding `safetensors` variant of this model (d02fd7dcecfd21e3f61d45e7c5d2b39e1a597ee4) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>31e695d
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Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755 Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/savasy/bert-turkish-text-classification/README.md3b8275c
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