single char ` addition for docs (#1989)
# What does this PR do? I think this will fix the docs from being weirdly formatted. All the sections after MAX_TOP_N_TOKENS don't show up in the bar on the right (https://huggingface.co/docs/text-generation-inference/basic_tutorials/launcher#maxtopntokens) ## Before submitting - [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests), Pull Request section? - [ ] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? Please add a link to it if that's the case. - [ ] Did you make sure to update the documentation with your changes? Here are the [documentation guidelines](https://github.com/huggingface/transformers/tree/main/docs), and [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation). - [ ] Did you write any new necessary tests? ## Who can review? @merveenoyan --------- Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
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@ -125,7 +125,7 @@ Options:
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## MAX_TOP_N_TOKENS
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```shell
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--max-top-n-tokens <MAX_TOP_N_TOKENS>
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This is the maximum allowed value for clients to set `top_n_tokens`. `top_n_tokens is used to return information about the the `n` most likely tokens at each generation step, instead of just the sampled token. This information can be used for downstream tasks like for classification or ranking
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This is the maximum allowed value for clients to set `top_n_tokens`. `top_n_tokens` is used to return information about the the `n` most likely tokens at each generation step, instead of just the sampled token. This information can be used for downstream tasks like for classification or ranking
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[env: MAX_TOP_N_TOKENS=]
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[default: 5]
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@ -236,7 +236,7 @@ struct Args {
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max_stop_sequences: usize,
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/// This is the maximum allowed value for clients to set `top_n_tokens`.
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/// `top_n_tokens is used to return information about the the `n` most likely
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/// `top_n_tokens` is used to return information about the the `n` most likely
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/// tokens at each generation step, instead of just the sampled token. This
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/// information can be used for downstream tasks like for classification or
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/// ranking.
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