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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nedima68/author_articles_classifier_TR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nedima68/author_articles_classifier_TR: direct link, hf CLI and curl.
- Browser
- Download file 333 MB
-
https://huggingface.co/nedima68/author_articles_classifier_TR/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nedima68/author_articles_classifier_TR/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nedima68/author_articles_classifier_TR/resolve/main/pytorch_model.bin
333 MB
- Xet hash:
- 36c6fd8d45510ddd5516c13c9353ea9652c956b792319f40b376d38ac4858772
- Size of remote file:
- 333 MB
- SHA256:
- 987ee5693a5cc7b41bc8cf836b7578c0870b77a61af4e3c5518c3beba9c8363f
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