Instructions to use webnlg/ru-mt0base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use webnlg/ru-mt0base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("webnlg/ru-mt0base") model = AutoModelForSeq2SeqLM.from_pretrained("webnlg/ru-mt0base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad854c62213d1f9f579f65d190f2e56f3a54d0e0c57b5548f9713e59220e843c
- Size of remote file:
- 2.33 GB
- SHA256:
- 8267835ae48b293e763db4efb5f763f017cf4753668ced4ba2deeca80a3a96b6
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