Instructions to use cointegrated/rut5-base-labse-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cointegrated/rut5-base-labse-decoder with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cointegrated/rut5-base-labse-decoder") model = AutoModelForSeq2SeqLM.from_pretrained("cointegrated/rut5-base-labse-decoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ab4ebc05a411ec14859e9d7ece5eea10f759721fe6561720770825b80991906
- Size of remote file:
- 977 MB
- SHA256:
- 72242c787c4ad6dd4672e68dc8f9ca6bded82b4f2a9beaddc685e0984b88f981
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