Summarization
Transformers
PyTorch
English
bigbird_pegasus
text2text-generation
Eval Results (legacy)
Instructions to use google/bigbird-pegasus-large-pubmed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/bigbird-pegasus-large-pubmed 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/bigbird-pegasus-large-pubmed")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/bigbird-pegasus-large-pubmed") model = AutoModelForSeq2SeqLM.from_pretrained("google/bigbird-pegasus-large-pubmed") - Notebooks
- Google Colab
- Kaggle
Commit ·
4f6f9e7
1
Parent(s): b33e0e2
Adding `safetensors` variant of this model
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- model.safetensors +3 -0
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