Instructions to use AlanRobotics/ruT5-conversation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlanRobotics/ruT5-conversation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AlanRobotics/ruT5-conversation") model = AutoModelForSeq2SeqLM.from_pretrained("AlanRobotics/ruT5-conversation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a3b8510545c154eeeb63f6175d4e3d84d9ef4aa76a59f8bd5d383f03321c51c
- Size of remote file:
- 892 MB
- SHA256:
- 4cfb54e7d70e6e556ab956c9eda563a2506f9f7f7a8dbbb53479d9a7956571a5
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