Instructions to use LazarusNLP/indo-t5-base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LazarusNLP/indo-t5-base-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("LazarusNLP/indo-t5-base-v2") model = AutoModelForSeq2SeqLM.from_pretrained("LazarusNLP/indo-t5-base-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea60b4a2ebe28e44b3e0af5e9ef943f5cbaa451c25d19c3d34e37ac9ee52f97d
- Size of remote file:
- 3.77 kB
- SHA256:
- 60a3679207c9f368ff7a3a85fcd804d70dea0d87e2821e996a4cf861424aac0c
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