Instructions to use jhpassion0621/kp-umt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jhpassion0621/kp-umt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jhpassion0621/kp-umt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("jhpassion0621/kp-umt5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b43242e1cd050afd9ee38458f4098eb1a7b5d151dd0aa612b15290c45545b6ef
- Size of remote file:
- 4.79 kB
- SHA256:
- e934115d36ad2ae2ee8b1ea2c1f384207a2d30a59e1a2c2d7ff85763285978eb
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