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
Download training_args.bin from savasy/bert-turkish-text-classification: direct link, hf CLI and curl.
- Browser
- Download file 1.52 kB
-
https://huggingface.co/savasy/bert-turkish-text-classification/resolve/main/training_args.bin
- Command line
-
hf download hf://savasy/bert-turkish-text-classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/savasy/bert-turkish-text-classification/resolve/main/training_args.bin
1.52 kB
- Xet hash:
- 9805fe71daa177e082f93e8a94864b60c7006f598f7b5bef738de2cf66fd0bdf
- Size of remote file:
- 1.52 kB
- SHA256:
- 60852eadb8dae73483a1dfff5f48500bead96924582519e33e4b957e8e82098c
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