Instructions to use YagiASAFAS/indonesia-news-classification-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YagiASAFAS/indonesia-news-classification-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YagiASAFAS/indonesia-news-classification-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YagiASAFAS/indonesia-news-classification-bert") model = AutoModelForSequenceClassification.from_pretrained("YagiASAFAS/indonesia-news-classification-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32d781feda7cf6ebcbbd2110ec7d20ec0ed3a2fb7ddc256df3b2acd141bda339
- Size of remote file:
- 670 MB
- SHA256:
- 414db47280f22f752f0f70fab41786ac378a23bac9065cbd8c20d3258790899d
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