Instructions to use M-A-E/russian_text_simplification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M-A-E/russian_text_simplification with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("M-A-E/russian_text_simplification") model = AutoModelForSeq2SeqLM.from_pretrained("M-A-E/russian_text_simplification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 567f91080559e2179f388a73799ca9529c88f99f12061dbce255a577ed71306f
- Size of remote file:
- 892 MB
- SHA256:
- fee885ddb9ceb1b2520d5c5a505987fdc40c6df91c1ee4281895945d3f586b27
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