Instructions to use stefan-it/umt5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stefan-it/umt5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("stefan-it/umt5-small") model = AutoModelForSeq2SeqLM.from_pretrained("stefan-it/umt5-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c562d35c033582cafe96593d732718c7bfb4e5b0403e089b4a94a8de88d3730c
- Size of remote file:
- 1.23 GB
- SHA256:
- 1693473497fb6b406dd39d926bdbbebb9bd033c26af5e9cd2c55d065463b520e
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