Instructions to use serdarakyol/interpress-turkish-news-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use serdarakyol/interpress-turkish-news-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="serdarakyol/interpress-turkish-news-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("serdarakyol/interpress-turkish-news-classification") model = AutoModelForSequenceClassification.from_pretrained("serdarakyol/interpress-turkish-news-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4d88149517191c1f1a08321e8e8b15ae9a58b8f756933fe66353fec36eb5acf
- Size of remote file:
- 443 MB
- SHA256:
- a9defcf5b42de6454d2601aabe03304ef9bb17d8726344808ca2309be5745434
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