Instructions to use baikal/bert-wp30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baikal/bert-wp30 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("baikal/bert-wp30", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from baikal/bert-wp30: direct link, hf CLI and curl.
- Browser
- Download file 187 Bytes
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https://huggingface.co/baikal/bert-wp30/resolve/main/README.md
- Command line
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hf download hf://baikal/bert-wp30/README.md
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curl -L -o README.md https://huggingface.co/baikal/bert-wp30/resolve/main/README.md
187 Bytes
| language: ko | |
| datasets: | |
| - 한국어 위키 | |
| - 국립국어원 문어/뉴스 데이터셋 | |
| baikal-BERT-base | |
| --- | |
| - model: bert-base | |
| - vocab: bert-wordpiece, 30,000 | |
| - version: latest | |