Instructions to use google/mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/mt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/mt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d33f2c0342a150c6b302eb081609eb8bcc1e4f9927b01e5146620ee68add9ef
- Size of remote file:
- 2.33 GB
- SHA256:
- c870a08ac1a67aaf347c9078f6ec7b446ed135de73491161540cd5af8c05a7bf
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