Instructions to use KooAI/KooBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KooAI/KooBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KooAI/KooBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KooAI/KooBERT") model = AutoModelForMaskedLM.from_pretrained("KooAI/KooBERT") - Notebooks
- Google Colab
- Kaggle
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Total Koos = 68,143,710<br>
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Total Tokens = 966,239,820
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### Training Procedure
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Total Koos = 68,143,710<br>
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Total Tokens = 966,239,820 (based on a close approximation)
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### Training Procedure
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