Instructions to use CocoRoF/KoModernBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CocoRoF/KoModernBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="CocoRoF/KoModernBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("CocoRoF/KoModernBERT") model = AutoModelForMaskedLM.from_pretrained("CocoRoF/KoModernBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a39b5e2fc51ba4161782684e3451336c6824452a96a3f78c7028ddde67bfc883
- Size of remote file:
- 5.37 kB
- SHA256:
- 8d0cbc0eed40136cd693c3a06f37f23f3d1f279fb4b9a64d5a0e7c17f266fe16
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