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:
- 9b144eda53cf17a9e14fbee7a52c087ad45b2d68f679ac7201d8e97e70b47864
- Size of remote file:
- 445 MB
- SHA256:
- 0ea8642386196d1912a07dea2c75ede789b76a370ee0667745ead5130ad33e92
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