Transformers
PyTorch
Indonesian
English
multilingual
t5
text2text-generation
idt5
text-generation-inference
Instructions to use muchad/idt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muchad/idt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("muchad/idt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("muchad/idt5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# Indonesian Version of Multilingual T5 Transformer
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Smaller version of the [Google's Multilingual T5-base](https://huggingface.co/google/mt5-base) model with only Indonesian and some English embeddings
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This model has to be fine-tuned before it is useable on a downstream task.\
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Fine-tuned idT5 for the Question Generation and Question Answering tasks, available at [idT5-qa-qg](https://huggingface.co/muchad/idt5-qa-qg).
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# Indonesian Version of Multilingual T5 Transformer
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Smaller version of the [Google's Multilingual T5-base](https://huggingface.co/google/mt5-base) model with only Indonesian and some English embeddings.
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This model has to be fine-tuned before it is useable on a downstream task.\
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Fine-tuned idT5 for the Question Generation and Question Answering tasks, available at [idT5-qa-qg](https://huggingface.co/muchad/idt5-qa-qg).
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