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:
- 55ae11eafc2fbe9dfc428da077a7605e3599ee31909ef142c401d2259f046d3b
- Size of remote file:
- 2.33 GB
- SHA256:
- 6162ca01474a959272fbf74b24d87b0c3fb7edb2099bdeef8953e96059c4e60b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.