Transformers
PyTorch
Korean
English
bert
pretraining
aviation
aviation safety
BERT
Korean BERT
Aviation BERT
Instructions to use oneonlee/KoAirBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oneonlee/KoAirBERT with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("oneonlee/KoAirBERT") model = AutoModelForPreTraining.from_pretrained("oneonlee/KoAirBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from oneonlee/KoAirBERT: direct link, hf CLI and curl.
- Browser
- Download file 752 kB
-
https://huggingface.co/oneonlee/KoAirBERT/resolve/main/tokenizer.json
- Command line
-
hf download hf://oneonlee/KoAirBERT/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/oneonlee/KoAirBERT/resolve/main/tokenizer.json
752 kB
File too large to display, you can check the raw version instead.