Instructions to use lgessler/microbert-indonesian-mx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgessler/microbert-indonesian-mx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lgessler/microbert-indonesian-mx")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lgessler/microbert-indonesian-mx") model = AutoModel.from_pretrained("lgessler/microbert-indonesian-mx") - Notebooks
- Google Colab
- Kaggle
This is a MicroBERT model for Indonesian.
- Its suffix is -mx, which means that it was pretrained using supervision from masked language modeling and XPOS tagging.
- The unlabeled Indonesian data was taken from a June 2022 dump of Indonesian Wikipedia, downsampled to 1,439,772 tokens.
- The UD treebank UD_Indonesian-GSD, v2.10, totaling 122,021 tokens, was used for labeled data.
Please see the repository and the paper for more details.
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