Update huggingface_inference.ipynb (#595)

Author: osanseviero

site/en/gemma/docs/core/huggingface_inference.ipynb

@@ -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."
       ]
     },
     {