Instructions to use hiendang7613/kgt5-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hiendang7613/kgt5-model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hiendang7613/kgt5-model") model = AutoModelForSeq2SeqLM.from_pretrained("hiendang7613/kgt5-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a94a4b57c39d7e70ce4a615f224cf251b75fe49ff35fdb7ee6c74641f827c24d
- Size of remote file:
- 308 MB
- SHA256:
- d42b90866ddabdae4e5ceecf042a26dcc145f5a646ea6690cccf0301c6cac94e
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