Instructions to use choiruzzia/best_berita_roberta_model_fold_2 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_2 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_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("choiruzzia/best_berita_roberta_model_fold_2") model = AutoModelForSequenceClassification.from_pretrained("choiruzzia/best_berita_roberta_model_fold_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdd3e20066efe0fad3dd0d7f446288cb7dfc68c076d07ed86d121a76d924a359
- Size of remote file:
- 5.18 kB
- SHA256:
- b1d5daafcbdf2d95aa68e8e72b78884ab05df8a1b19ff08c4f45724bef237093
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