Instructions to use grammarly/spivavtor-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grammarly/spivavtor-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("grammarly/spivavtor-large") model = AutoModelForSeq2SeqLM.from_pretrained("grammarly/spivavtor-large") - Notebooks
- Google Colab
- Kaggle
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# Model Card for Spivavtor-Large
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This model was obtained by
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**Paper:** Spivavtor: An Instruction Tuned Ukrainian Text Editing Model
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# Model Card for Spivavtor-Large
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This model was obtained by instruction tuning `bigscience/mt0-large` model on the Spivavtor dataset. All details of the dataset and fine tuning process can be found in our paper.
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**Paper:** Spivavtor: An Instruction Tuned Ukrainian Text Editing Model
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