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Adding links to pipelines parameters documentation (#19227)
* Adding links to pipelines parameters documentation Adding PR based on suggestion in this issue https://github.com/huggingface/transformers/issues/19038#issuecomment-1259592359 * styling * Updated config.yml * Updated config.yml * update README_es.md
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@ -32,7 +32,9 @@ class Text2TextGenerationPipeline(Pipeline):
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The models that this pipeline can use are models that have been fine-tuned on a translation task. See the
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up-to-date list of available models on
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[huggingface.co/models](https://huggingface.co/models?filter=text2text-generation).
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[huggingface.co/models](https://huggingface.co/models?filter=text2text-generation). For a list of available
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parameters, see the [following
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documentation](https://huggingface.co/docs/transformers/en/main_classes/text_generation#transformers.generation_utils.GenerationMixin.generate)
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Usage:
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@ -202,7 +204,9 @@ class SummarizationPipeline(Text2TextGenerationPipeline):
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The models that this pipeline can use are models that have been fine-tuned on a summarization task, which is
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currently, '*bart-large-cnn*', '*t5-small*', '*t5-base*', '*t5-large*', '*t5-3b*', '*t5-11b*'. See the up-to-date
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list of available models on [huggingface.co/models](https://huggingface.co/models?filter=summarization).
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list of available models on [huggingface.co/models](https://huggingface.co/models?filter=summarization). For a list
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of available parameters, see the [following
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documentation](https://huggingface.co/docs/transformers/en/main_classes/text_generation#transformers.generation_utils.GenerationMixin.generate)
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Usage:
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@ -269,6 +273,8 @@ class TranslationPipeline(Text2TextGenerationPipeline):
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The models that this pipeline can use are models that have been fine-tuned on a translation task. See the
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up-to-date list of available models on [huggingface.co/models](https://huggingface.co/models?filter=translation).
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For a list of available parameters, see the [following
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documentation](https://huggingface.co/docs/transformers/en/main_classes/text_generation#transformers.generation_utils.GenerationMixin.generate)
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Usage:
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