Instructions to use choiruzzia/best_berita_bert_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_bert_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_bert_model_fold_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("choiruzzia/best_berita_bert_model_fold_4") model = AutoModelForSequenceClassification.from_pretrained("choiruzzia/best_berita_bert_model_fold_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18ecb1b53f891cc6611749e95ab21f325f63c782889c79477fbcbfb44f0c0809
- Size of remote file:
- 443 MB
- SHA256:
- 0fba5ed953953953337ec8cc15186cf3a40d3f1901b33e841c8b08987ec807d1
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