Summarization
Transformers
PyTorch
TensorFlow
JAX
English
pegasus
text2text-generation
Eval Results (legacy)
Instructions to use google/pegasus-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pegasus-xsum 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-xsum")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/pegasus-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("google/pegasus-xsum", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Update tf_weights_dict.pkl
Browse files- tf_weights_dict.pkl +3 -0
tf_weights_dict.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:e114926c773dd59cd5fd043292a6ff280d2260b405c0aa4081e74866707c105c
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size 2274066163
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