Instructions to use Roy029/mpyt5_e5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roy029/mpyt5_e5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Roy029/mpyt5_e5") model = AutoModelForSeq2SeqLM.from_pretrained("Roy029/mpyt5_e5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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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: ( https://huggingface.co/Roy029/mpyt5_e20)
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