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:
- 12d9daf49e06573535f30702d4f755f20066986a50512b9a0d32730028d9989e
- Size of remote file:
- 1.13 GB
- SHA256:
- 5eafa57ba24a6a98989db72ba4ee2ac301c0debc53b129dc9d57201aaa33795f
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