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 config.json from nedima68/author_articles_classifier_TR: direct link, hf CLI and curl.
- Browser
- Download file 156 Bytes
-
https://huggingface.co/nedima68/author_articles_classifier_TR/resolve/main/config.json
- Command line
-
hf download hf://nedima68/author_articles_classifier_TR/config.json
-
curl -L -o config.json https://huggingface.co/nedima68/author_articles_classifier_TR/resolve/main/config.json
156 Bytes
| {"model_name": "distilroberta-base", "n_labels": 4, "batch_size": 64, "lr": 1.5e-05, "warmup": 0.2, "train_size": 1458, "weight_decay": 0.01, "n_epochs": 2} |