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:
- 47672a89fa898aee2784f3bc6bac9c12453dca6cb88ba3fc3b0f54f21580406e
- Size of remote file:
- 16.9 MB
- SHA256:
- af904105ce1071b1202bba0059a841f4a7b85b48b6ec179c4948e3483476e0dd
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