Instructions to use jason9693/soongsil-bert-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jason9693/soongsil-bert-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jason9693/soongsil-bert-small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jason9693/soongsil-bert-small") model = AutoModelForMaskedLM.from_pretrained("jason9693/soongsil-bert-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 061fd658f88f2d0d985b032629c1b6e5e8aeaffd464a2af38ab6b28e785d444f
- Size of remote file:
- 223 MB
- SHA256:
- 98ddecbe0faabc59fb3a07081641bf0f8f3c2318cc064f7b9f96288c6fcf05b3
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