Instructions to use afbudiman/distilled-optimized-indobert-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use afbudiman/distilled-optimized-indobert-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="afbudiman/distilled-optimized-indobert-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("afbudiman/distilled-optimized-indobert-classification") model = AutoModelForSequenceClassification.from_pretrained("afbudiman/distilled-optimized-indobert-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5056ac43c1b892bf4819f95b9ca0e898e379c9d8d1a5fe866153cc8d99105a7f
- Size of remote file:
- 3.31 kB
- SHA256:
- 29d6116ea067ebbb0e4e8979def501c6310213fea7e8ab4aed05fef8050779b1
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