Instructions to use google/pegasus-multi_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pegasus-multi_news 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="google/pegasus-multi_news")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/pegasus-multi_news") model = AutoModelForSeq2SeqLM.from_pretrained("google/pegasus-multi_news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6359e66a02a1a369ece5c92c96733f53678b3d9e4e8592fbaa9b3517a3a2c290
- Size of remote file:
- 2.28 GB
- SHA256:
- 5f5adb0a5130bf456a09dcf50f6293dd6d49f4799f0661c6ad4a93355e969040
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