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:
- 00db89f1cafaae2268857037c3eaf60b9c93fae92c42a6ff2db097347ba771e0
- Size of remote file:
- 499 MB
- SHA256:
- 5b4c5aad270f9a96f93697b42d5ea5bec9258cbf658b852946de0aa3591a0d5e
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