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:
- ec44d7bf935b5e802ab3b073cf1e13076eb4e5264ff564a3746081d34de8db51
- Size of remote file:
- 5.18 kB
- SHA256:
- 91b8f60ba5bfdba3c094ccfd12948587f33c02588c70bb792e7a408709f76d69
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