Instructions to use lassl/bert-ko-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lassl/bert-ko-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lassl/bert-ko-small")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("lassl/bert-ko-small") model = AutoModelForPreTraining.from_pretrained("lassl/bert-ko-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6f4ca24e5e0ee7a39ddcb18ff0d1a938fe276167b573fb134163f61e379792e
- Size of remote file:
- 144 MB
- SHA256:
- 8ea33eab62db94fda10b61da2c4cc8ff2d86c92b16a64ab9bc75376a2991bf23
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