Fix summarization to_cpu doc
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@@ -29,7 +29,7 @@ And move all the stories to the same folder. We will refer as `$DATA_PATH` the p
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python run_summarization.py \
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python run_summarization.py \
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--documents_dir $DATA_PATH \
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--documents_dir $DATA_PATH \
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--summaries_output_dir $SUMMARIES_PATH \ # optional
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--summaries_output_dir $SUMMARIES_PATH \ # optional
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--to_cpu false \
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--no_cuda false \
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--batch_size 4 \
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--batch_size 4 \
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--min_length 50 \
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--min_length 50 \
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--max_length 200 \
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--max_length 200 \
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@@ -39,7 +39,7 @@ python run_summarization.py \
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--compute_rouge true
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--compute_rouge true
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```
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```
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The scripts executes on GPU if one is available and if `to_cpu` is not set to `true`. Inference on multiple GPUs is not suported yet. The ROUGE scores will be displayed in the console at the end of evaluation and written in a `rouge_scores.txt` file. The script takes 30 hours to compute with a single Tesla V100 GPU and a batch size of 10 (300,000 texts to summarize).
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The scripts executes on GPU if one is available and if `no_cuda` is not set to `true`. Inference on multiple GPUs is not suported yet. The ROUGE scores will be displayed in the console at the end of evaluation and written in a `rouge_scores.txt` file. The script takes 30 hours to compute with a single Tesla V100 GPU and a batch size of 10 (300,000 texts to summarize).
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## Summarize any text
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## Summarize any text
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@@ -49,7 +49,7 @@ Put the documents that you would like to summarize in a folder (the path to whic
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python run_summarization.py \
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python run_summarization.py \
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--documents_dir $DATA_PATH \
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--documents_dir $DATA_PATH \
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--summaries_output_dir $SUMMARIES_PATH \ # optional
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--summaries_output_dir $SUMMARIES_PATH \ # optional
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--to_cpu false \
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--no_cuda false \
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--batch_size 4 \
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--batch_size 4 \
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--min_length 50 \
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--min_length 50 \
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--max_length 200 \
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--max_length 200 \
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