Instructions to use klue/bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use klue/bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="klue/bert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("klue/bert-base") model = AutoModelForMaskedLM.from_pretrained("klue/bert-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcd90a0b1a7b30fb1c26a5b541dff5b732fd33f0cdae2ccfc74efaaabdf1e1d3
- Size of remote file:
- 445 MB
- SHA256:
- 757d1c1fcfe3b4f01445bf62d5e654b99ea08f5ea1aca7d180ed91c004668c6d
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