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README.md
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- This model is a fine-tuned version of [allenai/led-large-16384](https://huggingface.co/allenai/led-large-16384) on the booksum dataset.
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- the goal was to create a model that can generalize well and is useful in summarizing lots of text in academic and daily usage.
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- all the parameters for generation on the API are the same as [the base model](https://huggingface.co/pszemraj/led-base-book-summary) for easy comparison between versions.
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- works well on lots of text, can hand 16384 tokens/batch.
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- This model is a fine-tuned version of [allenai/led-large-16384](https://huggingface.co/allenai/led-large-16384) on the booksum dataset.
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- the goal was to create a model that can generalize well and is useful in summarizing lots of text in academic and daily usage.
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- [I don't want to read anymore give me a notebook implementation](https://colab.research.google.com/gist/pszemraj/3eba944ddc9fc9a4a1bfb21e83b57620/summarization-token-batching.ipynb)
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- all the parameters for generation on the API are the same as [the base model](https://huggingface.co/pszemraj/led-base-book-summary) for easy comparison between versions.
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- works well on lots of text, can hand 16384 tokens/batch.
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