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
Push model using huggingface_hub.
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:987ee5693a5cc7b41bc8cf836b7578c0870b77a61af4e3c5518c3beba9c8363f
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size 333262153
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