Instructions to use LazarusNLP/indo-t5-base-nusax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LazarusNLP/indo-t5-base-nusax with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("LazarusNLP/indo-t5-base-nusax") model = AutoModelForSeq2SeqLM.from_pretrained("LazarusNLP/indo-t5-base-nusax", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ab26abf57b72e69046022f6d2c6d9d4498d54e1d0d25f7ca69e0c493df58b1b
- Size of remote file:
- 3.77 kB
- SHA256:
- bf212a31bc94638ad7ec1ec073fa01bab2c2d256054cfa2faa8351dfe1bb537f
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