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:
- e7a37ade59ba13cfcac7356f929e5a03fa7878cdcb7e7a047d4ab6235b3a0984
- Size of remote file:
- 960 MB
- SHA256:
- e11729365700b321fe9f21990e7278bba5d17449d7eadc0f992d1199aecc4df0
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