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") - Notebooks
- Google Colab
- Kaggle
Add multilingual to the language tag (#1)
Browse files- Add multilingual to the language tag (a55e4defa1f9712d7eeb39f6107093a338402490)
Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>
README.md
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language:
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tags:
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- idt5
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license: apache-2.0
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# Indonesian Version of Multilingual T5 Transformer
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language:
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- id
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- en
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- multilingual
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license: apache-2.0
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tags:
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- idt5
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# Indonesian Version of Multilingual T5 Transformer
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