Instructions to use CocoRoF/KoModernBERT-large-mlm-v12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CocoRoF/KoModernBERT-large-mlm-v12 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="CocoRoF/KoModernBERT-large-mlm-v12")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("CocoRoF/KoModernBERT-large-mlm-v12") model = AutoModelForMaskedLM.from_pretrained("CocoRoF/KoModernBERT-large-mlm-v12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CocoRoF/KoModernBERT-large-mlm-v12: direct link, hf CLI and curl.
- Browser
- Download file 5.75 kB
-
https://huggingface.co/CocoRoF/KoModernBERT-large-mlm-v12/resolve/main/training_args.bin
- Command line
-
hf download hf://CocoRoF/KoModernBERT-large-mlm-v12/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CocoRoF/KoModernBERT-large-mlm-v12/resolve/main/training_args.bin
5.75 kB
- Xet hash:
- 573cf962b4da2e0c8b1f0799f618127a2d6df4b1d01f6f7e27da1de87efa96c2
- Size of remote file:
- 5.75 kB
- SHA256:
- 25e2cb5e64ffbdbfbb0be74a7544ff62221c5860ef88576c4e4896078f51250e
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