Instructions to use nedima68/author_articles_classifier_TR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nedima68/author_articles_classifier_TR with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nedima68/author_articles_classifier_TR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36c6fd8d45510ddd5516c13c9353ea9652c956b792319f40b376d38ac4858772
- Size of remote file:
- 333 MB
- SHA256:
- 987ee5693a5cc7b41bc8cf836b7578c0870b77a61af4e3c5518c3beba9c8363f
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