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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:6d465382c7acb994a99a73f1204938d313e6b716ff89a127c728249dd21a8542
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size 669622580
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