Instructions to use Roy029/mpyt5_e20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roy029/mpyt5_e20 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Roy029/mpyt5_e20") model = AutoModelForSeq2SeqLM.from_pretrained("Roy029/mpyt5_e20") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- mT5-small(300M Paramators)
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- max_length = 128
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- mT5-small(300M Paramators)
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- max_length = 128
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# Model Version
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- *epoch5: https://huggingface.co/Roy029/mpyt5_e5
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- *epoch10: https://huggingface.co/Roy029/mpyt5_e10
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- *epoch15: https://huggingface.co/Roy029/mpyt5_e15
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- *epoch20: This Model
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