Instructions to use choiruzzia/best_berita_roberta_model_fold_5 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_5 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_5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("choiruzzia/best_berita_roberta_model_fold_5") model = AutoModelForSequenceClassification.from_pretrained("choiruzzia/best_berita_roberta_model_fold_5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 850e2ecfd55e66618ce57d9c66dbadbbd3b59cc7d1dd40d1c5b64537b69a7f1b
- Size of remote file:
- 499 MB
- SHA256:
- c4a96ad167652e5065140235aae504bcb653499e4c730f35919d92b337bde68b
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