pszemraj/led-large-book-summary
summarization model by pszemraj
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Model card & documentation
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This model is a fine-tuned version of allenai/led-large-16384 on the BookSum dataset (kmfoda/booksum). It aims to generalize well and be useful in summarizing lengthy text for both academic and everyday purposes. To improve summary quality, use encodernorepeatngramsize=3 when calling the pipeline object. This setting encourages the model to utilize new vocabulary and construct an abstractive summary. Load the model into a pipeline object: Feed the text into the pipeline object: Important: For optimal summary quality, use the global attention mask when decoding, as demonstrated in this community notebook, see the definition of generateanswer(batch). If you're facing computing constraints, consider using the base version pszemraj/led-base-book-summary. The model was fine-tuned on the booksum dataset. During training, the chapterwas the input col, while the summarytext was the output. Fine-tuning was run on the BookSum dataset across 13+ epochs. Notably, the final four epochs combined the training and validation sets as 'train' to enhance…
Read the full model card ↗ · Preview checked 2026-11-01T09:09:06.119Z
Inside the original model card — Document outline
- led-large-book-summary
- Basic Usage
- Training Information
- Data
- Procedure
- Hyperparameters
- Versions
- Simplified Usage with TextSum
- Related Models
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Model overview
pszemraj/led-large-book-summary is a summarization model repository published by pszemraj on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- summarization
- Library
- transformers
- Recent downloads (30 days)
- 3,106
- Cumulative likes
- 121
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 459,851,865
- Architecture
- LEDForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2022-03-02T23:29:05.000Z
- Last modified
- 2025-12-29T03:38:09.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:36.205Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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