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:
- 701bf6ba153121d3e855b2d438aef51e0de228027db3f24299bc8c3acf83e9fc
- Size of remote file:
- 1.23 GB
- SHA256:
- ff8c089303eab618f55a1e6ebc0c31e74416fe7c5a12eb44c7d06b313d939752
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