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
-
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
metadata
language: ko
datasets:
- 한국어 위키
- 국립국어원 문어/뉴스 데이터셋
baikal-BERT-base
- model: bert-base
- vocab: bert-wordpiece, 30,000
- version: latest