Instructions to use uselezzz/ruT5-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uselezzz/ruT5-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("uselezzz/ruT5-summarization") model = AutoModelForMultimodalLM.from_pretrained("uselezzz/ruT5-summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- adaadfd310681faf40e47b3a1e439aa86079cafe5f9159da9136ff5e12d5088f
- Size of remote file:
- 892 MB
- SHA256:
- 4a6de63af5913fa786d594de32c06bd14824ab22dd8f41f02669b46614996b5c
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