Instructions to use HorikawaMegu/mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HorikawaMegu/mt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HorikawaMegu/mt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("HorikawaMegu/mt5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7f260be47f4685ccf17edfd3c44d41b3f982f3b354cae41eed95d6a6000ab73
- Size of remote file:
- 5.05 kB
- SHA256:
- 7ae63d7aa960a49b16e05c0acf3c2523f2079a848deb764cd84e109d564e6c7e
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