Instructions to use choiruzzia/best_berita_roberta_model_fold_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use choiruzzia/best_berita_roberta_model_fold_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="choiruzzia/best_berita_roberta_model_fold_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("choiruzzia/best_berita_roberta_model_fold_3") model = AutoModelForSequenceClassification.from_pretrained("choiruzzia/best_berita_roberta_model_fold_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 614bd7e30fe9884623725856c69500e1fc9b3047292eb7da5ed308f51a581c3d
- Size of remote file:
- 499 MB
- SHA256:
- 3abed36bd497996aac0d2f30ecfdd9da3f328d77d1e4409951ef346c8986f4c1
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