Summarization
Transformers
PyTorch
Safetensors
English
pegasus
text2text-generation
Eval Results (legacy)
Instructions to use pszemraj/pegasus-large-summary-explain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pszemraj/pegasus-large-summary-explain 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="pszemraj/pegasus-large-summary-explain")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pszemraj/pegasus-large-summary-explain") model = AutoModelForSeq2SeqLM.from_pretrained("pszemraj/pegasus-large-summary-explain") - Notebooks
- Google Colab
- Kaggle
peterszemraj@gmail.com
Browse files
README.md
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This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on the [booksum](https://github.com/salesforce/booksum) dataset for four total epochs.
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# pszemraj/pegasus-large-summary-explain
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This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on the [booksum](https://github.com/salesforce/booksum) dataset for four total epochs.
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