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chore: Fix typos in docs and examples (#36524)

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Fix typos in docs and examples

Signed-off-by: co63oc <co63oc@users.noreply.github.com>
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co63oc
2025-03-04 21:47:41 +08:00
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docs/source/en/generation_features.md
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@@ -50,7 +50,7 @@ The `streamer` parameter is compatible with any class with a [`~TextStreamer.put
Watermarking is useful for detecting whether text is generated. The [watermarking strategy](https://hf.co/papers/2306.04634) in Transformers randomly "colors" a subset of the tokens green. When green tokens are generated, they have a small bias added to their logits, and a higher probability of being generated. You can detect generated text by comparing the proportion of green tokens to the amount of green tokens typically found in human-generated text.
Watermarking is supported for any generative model in Transformers and doesn't require an extra classfication model to detect the watermarked text.
Watermarking is supported for any generative model in Transformers and doesn't require an extra classification model to detect the watermarked text.
Create a [`WatermarkingConfig`] with the bias value to add to the logits and watermarking algorithm. The example below uses the `"selfhash"` algorithm, where the green token selection only depends on the current token. Pass the [`WatermarkingConfig`] to [`~GenerationMixin.generate`].