Instructions to use eaglewatch/gpt2-ko-wikipedia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eaglewatch/gpt2-ko-wikipedia with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="eaglewatch/gpt2-ko-wikipedia")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("eaglewatch/gpt2-ko-wikipedia") model = AutoModel.from_pretrained("eaglewatch/gpt2-ko-wikipedia") - Notebooks
- Google Colab
- Kaggle
This is a GPT-2 based model that has been trained with Korean Wikipedia dataset.
Since there is no Korean pre-trained model that has been trained with a large dataset like Wikipedia for GPT-2 yet, so I made a decision to train GPT-2 for Korean texts.
It has been trained with Korean Wikipedia dataset (train wikipedia article count: 334420, validation wikipedia article count: 83605).
Yongwoo Jeong, Sep 13th, 2022.
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