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:
- 0d2c0458a9c5729f307ab61d33392f4a729a3b291eeb48ea332e1743e1bc3540
- Size of remote file:
- 499 MB
- SHA256:
- 2b622b286d36d57fa1728823d53faaf986db92fe9c3726b8d44877abc45427fa
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