Instructions to use choiruzzia/22best_berita_bert_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_bert_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_bert_model_fold_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("choiruzzia/22best_berita_bert_model_fold_2") model = AutoModelForSequenceClassification.from_pretrained("choiruzzia/22best_berita_bert_model_fold_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8f7aff3c5d6fd389e6fff2bfb1d12a029dc7a7c1e4d69df63a2653be06e8ce8
- Size of remote file:
- 443 MB
- SHA256:
- 01f2ef59a179010c0bfdf30396038278ad863431801424626513fa7159b80e37
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