Transformers
PyTorch
Ukrainian
English
multilingual
t5
text2text-generation
ukrainian
english
text-generation-inference
Instructions to use uaritm/ukrt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uaritm/ukrt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uaritm/ukrt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("uaritm/ukrt5-base") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -16,6 +16,6 @@ Special thanks for the practical example and inspiration: [cointegrated ](https:
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title={SetFit: Classification of medical texts},
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author={Vitaliy Ostashko},
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year={2022},
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url={https://esemi.org}
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}
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```
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title={SetFit: Classification of medical texts},
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author={Vitaliy Ostashko},
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year={2022},
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url={https://esemi.org}
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}
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```
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