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:
- b001f207ef0f8b06f4d75cb652df745ff8dcab32d598bd4903efe726e314e845
- Size of remote file:
- 2.33 GB
- SHA256:
- fff568ee7acd124122329bf5103bebf0408c0e3d9d245555ee141262e7cbc908
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