Instructions to use choiruzzia/22best_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/22best_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/22best_berita_roberta_model_fold_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("choiruzzia/22best_berita_roberta_model_fold_2") model = AutoModelForSequenceClassification.from_pretrained("choiruzzia/22best_berita_roberta_model_fold_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8556971766738b1036f382a011baacd46cd754337eff7c53526c846dc313547c
- Size of remote file:
- 5.18 kB
- SHA256:
- f8739f54679e0bcfaf31980707490678fff679e8c10845019de04b2363e98097
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