Instructions to use algumusrende/turkish-text-classification-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use algumusrende/turkish-text-classification-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="algumusrende/turkish-text-classification-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("algumusrende/turkish-text-classification-model") model = AutoModelForSequenceClassification.from_pretrained("algumusrende/turkish-text-classification-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from algumusrende/turkish-text-classification-model: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/algumusrende/turkish-text-classification-model/resolve/main/training_args.bin
- Command line
-
hf download hf://algumusrende/turkish-text-classification-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/algumusrende/turkish-text-classification-model/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 7732cd9eae72d432f2ab530bd106e2130baf7ec36c8973f1fc7fd23fa69345fa
- Size of remote file:
- 5.05 kB
- SHA256:
- fb9f083a98e205f9634d3f7f2c558349d840ab6d0be9ff9f4e572c84ad749e18
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