Instructions to use jason9693/soongsil-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jason9693/soongsil-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jason9693/soongsil-bert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jason9693/soongsil-bert-base") model = AutoModelForMaskedLM.from_pretrained("jason9693/soongsil-bert-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93b74a5b2305bad5af18a1993dc54a93e72250b6146b0a2aa9cf21fe12127b44
- Size of remote file:
- 393 MB
- SHA256:
- 92c3308876cbb9ddcc842e60194dcebe2c9662fa1013110ffc0b9674511d4ad6
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