Instructions to use MrBananaHuman/char_ko_bert_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrBananaHuman/char_ko_bert_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="MrBananaHuman/char_ko_bert_small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("MrBananaHuman/char_ko_bert_small") model = AutoModelForMaskedLM.from_pretrained("MrBananaHuman/char_ko_bert_small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d220d10e603d2410dd4477aedebc04e55a8018cf0d26721ba89244e9a2532816
- Size of remote file:
- 114 MB
- SHA256:
- 046f638322de1d4bcf09b5dce7c8f6ed7f4d8ffe4ad89021b645210b8ae0b13c
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