Transformers
PyTorch
t5
text2text-generation
summarization_2
Generated from Trainer
text-generation-inference
Instructions to use Natet/rut5_base_sum_gazeta-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Natet/rut5_base_sum_gazeta-finetuned with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Natet/rut5_base_sum_gazeta-finetuned") model = AutoModelForSeq2SeqLM.from_pretrained("Natet/rut5_base_sum_gazeta-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90749ec7a73daa81021479cc1ad423b896803075884d46bad9382a9a7d56a4fc
- Size of remote file:
- 977 MB
- SHA256:
- 984b6d1b86d3992740d8eb3df5f0934adb912f2160b6364ce92938a59de672ca
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