Instructions to use LazarusNLP/indo-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LazarusNLP/indo-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("LazarusNLP/indo-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("LazarusNLP/indo-t5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0527deb67795ab6e964d80f3a38b406b9a4f1a62a908117301ef20722046fcd
- Size of remote file:
- 3.71 kB
- SHA256:
- 2778b361b251c9df717f1d4e5230df152e38d2ec972be58793e0b9ea89ef2a2d
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