Summarization
Transformers
Safetensors
Russian
t5
text2text-generation
summarizer
суммаризатор
text-generation-inference
russian text summarizer
Instructions to use sarahai/ruT5-base-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sarahai/ruT5-base-summarizer with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="sarahai/ruT5-base-summarizer")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sarahai/ruT5-base-summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("sarahai/ruT5-base-summarizer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bda4e7148a85a3de6894dd2bf5163f258779b771c49dba20d3962b79f24a5e3f
- Size of remote file:
- 4.92 kB
- SHA256:
- a0d31dcaac08146f742e4a2c68bcfce4d059fdaa1d8168a19cad599baaa6d891
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