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Fix broken link in transformers guide #595

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Jun 20, 2025
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Fix broken link in transformers guide #595

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2 changes: 1 addition & 1 deletion site/en/gemma/docs/core/huggingface_inference.ipynb
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Expand Up @@ -191,7 +191,7 @@
"id": "eqtJZPHPP1b5"
},
"source": [
"Gemma supports only a few `task` settings for generation. For more information on the available `task` settings, see the Hugging Face Pipelines [task()](https://huggingface.co/docs/transformers/main/en/main_classes/pipelines#transformers.pipeline.task) documentation. Use the torch data type `torch.bfloat16` to reduce the precision of the model and compute resources needed, without significantly impacting the output quality of the model. For the `device` setting, you can use `\"cuda\"` for Colab, or `\"msu\"` for iOS devices, or just set this to `0` (zero) to specify the first GPU on your system. For more information about using the Pipeline class, see the Hugging Face [Pipelines](https://huggingface.co/docs/transformers/main/en/main_classes/) documentation."
"Gemma supports only a few `task` settings for generation. For more information on the available `task` settings, see the Hugging Face Pipelines [task()](https://huggingface.co/docs/transformers/main/en/main_classes/pipelines#transformers.pipeline.task) documentation. Use the torch data type `torch.bfloat16` to reduce the precision of the model and compute resources needed, without significantly impacting the output quality of the model. For the `device` setting, you can use `\"cuda\"` for Colab, or `\"msu\"` for iOS devices, or just set this to `0` (zero) to specify the first GPU on your system. For more information about using the Pipeline class, see the Hugging Face [Pipelines](https://huggingface.co/docs/transformers/main/en/main_classes/pipelines) documentation."
]
},
{
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