Instructions to use google/umt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/umt5-base with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("google/umt5-base", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e23115c2d22e90e6b5a3b464863a6b0dbb213861a23ebf88c5fa6c053fa8074
- Size of remote file:
- 2.37 GB
- SHA256:
- c48f7036095f1a02ee817d1b131de443bfe126b45ff76133ef5ae685bac9f061
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