Instructions to use google/umt5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/umt5-small with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("google/umt5-small", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d32d61585bc0e20c51f417fc3119d3d409352f15307269c3f2a8902a0eb4b704
- Size of remote file:
- 1.23 GB
- SHA256:
- 7cab9518d215ae448a7e38660e3b415c67965bd5fa2c678088e59b49591f67ef
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