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@@ -113,6 +113,11 @@ See `summarize.py` in [the code for my hf space Document Summarization](https://
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You can also use the same code to split a document into batches of 4096, etc., and run over those with the model. This is useful in situations where CUDA memory is limited.
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---
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## Training procedure
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You can also use the same code to split a document into batches of 4096, etc., and run over those with the model. This is useful in situations where CUDA memory is limited.
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### How to fine-tune further?
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See [train with a script](https://huggingface.co/docs/transformers/run_scripts) and [the summarization scripts](https://github.com/huggingface/transformers/tree/main/examples/pytorch/summarization)
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---
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## Training procedure
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