Instructions to use dvb555/indobert-base-uncased-modified with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dvb555/indobert-base-uncased-modified with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dvb555/indobert-base-uncased-modified")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dvb555/indobert-base-uncased-modified") model = AutoModelForSequenceClassification.from_pretrained("dvb555/indobert-base-uncased-modified", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09dfceb665021319efff7394515592ee0127457740b93ed7767589d2126e4578
- Size of remote file:
- 442 MB
- SHA256:
- 69b67df0befe152f329ee6002354c1032e52d476ec18a6daf1ea8ca0158c099c
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