Instructions to use choiruzzia/best_berita_roberta_model_fold_4 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_4 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_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("choiruzzia/best_berita_roberta_model_fold_4") model = AutoModelForSequenceClassification.from_pretrained("choiruzzia/best_berita_roberta_model_fold_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 334700c1dec6e4b80dc8009b6822f221838bc12c858dc9257c384e3d7db175fc
- Size of remote file:
- 499 MB
- SHA256:
- e4c5c9666957d22a3cb03afc3a6c9b2eb58262433b85bc75a10c790383884c59
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