Instructions to use beomi/KcT5-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beomi/KcT5-dev with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("beomi/KcT5-dev") model = AutoModelForSeq2SeqLM.from_pretrained("beomi/KcT5-dev") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e79aa7c518ff51fa2bf8b4ce8fffa4a95be9414f9fb70f81e9005a16fe9149e
- Size of remote file:
- 1.13 GB
- SHA256:
- 97f3d772946ef4195db957cf6f86ce10269242363e75014a1ae4946dd3c6f292
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