Instructions to use choiruzzia/best_berita_bert_model_fold_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use choiruzzia/best_berita_bert_model_fold_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="choiruzzia/best_berita_bert_model_fold_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("choiruzzia/best_berita_bert_model_fold_3") model = AutoModelForSequenceClassification.from_pretrained("choiruzzia/best_berita_bert_model_fold_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 872065809521081116b3ac1175b6f718c66de83a20477f4889a9cced9f805b71
- Size of remote file:
- 443 MB
- SHA256:
- 4d2f913b2b867d1693ad7af7ba2fc938208f4959c0ac0599ade68acc48a4a8af
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