Instructions to use Wikidepia/IndoT5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wikidepia/IndoT5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Wikidepia/IndoT5-small") model = AutoModelForSeq2SeqLM.from_pretrained("Wikidepia/IndoT5-small") - Notebooks
- Google Colab
- Kaggle
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# Indonesian T5 Small
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T5 (Text-to-Text Transfer Transformer) model pretrained on Indonesian mC4 with [extra filtering](https://github.com/Wikidepia/indonesian_datasets/tree/master/dump/mc4). This model is pre-trained only and needs to be fine-tuned to be used for specific tasks.
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## Pretraining Details
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Trained for 1M steps following [`google/t5-v1_1-small`](https://huggingface.co/google/t5-v1_1-small).
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## Model Performance
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# Indonesian T5 Small
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T5 (Text-to-Text Transfer Transformer) model pretrained on Indonesian mC4 with [extra filtering](https://github.com/Wikidepia/indonesian_datasets/tree/master/dump/mc4). This model is pre-trained only and needs to be fine-tuned to be used for specific tasks.
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## Pretraining Details
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**Apparently I do not use the same learning rate as the original T5-smallv1.1, I will retrain it soon :)**
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Trained for 1M steps following [`google/t5-v1_1-small`](https://huggingface.co/google/t5-v1_1-small).
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## Model Performance
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