Instructions to use dsksd/bert-ko-small-minimal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dsksd/bert-ko-small-minimal with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForPretraining tokenizer = AutoTokenizer.from_pretrained("dsksd/bert-ko-small-minimal") model = BertForPretraining.from_pretrained("dsksd/bert-ko-small-minimal") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afdd99031f0bec0f21d80a131010ac3c7a0731e91ac21b5d961957d8827e3502
- Size of remote file:
- 284 MB
- SHA256:
- 529500c36c4ce5a1f90715589f46702c350b334b8ce3cd74e7ae4e9b103e804b
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