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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03ef84bf4b421b080798131d4da8075a8d5fdc8dc3aef178787dc8b33d94d94e
- Size of remote file:
- 1.13 GB
- SHA256:
- ba8690145741abefa5160a5918228bbb0058494b83d5daa5a4101f1d4a0555cf
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