Instructions to use google/pegasus-newsroom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pegasus-newsroom 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-newsroom")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/pegasus-newsroom") model = AutoModelForSeq2SeqLM.from_pretrained("google/pegasus-newsroom") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35dd85d98b12c82a6c3bab470611fadfbb5f3ec062dfbb50b9f9c642fb788a7a
- Size of remote file:
- 2.28 GB
- SHA256:
- 87c67691330b04bdc9226247bb257a3a321460790219fd5a4132a434b03c28e9
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