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@@ -6,6 +6,8 @@ Hugging Face collaborates with Google across open science, open source, cloud, a
 
 Hugging Face enables new experiences for Google Cloud customers. They can easily train and deploy Hugging Face models on Google Kubernetes Engine (GKE) and Vertex AI, on any hardware available in Google Cloud using Hugging Face Deep Learning Containers (DLCs).
 
+If you have any issues using Hugging Face on Google Cloud, you can get community support by creating a new topic in the [Forum](https://discuss.huggingface.co/c/google-cloud/69/l/latest) dedicated to Google Cloud usage.
+
 ## Train and Deploy Models on Google Cloud with Hugging Face Deep Learning Containers
 
 Hugging Face built Deep Learning Containers (DLCs) for Google Cloud customers to run any of their machine learning workload in an optimized environment, with no configuration or maintenance on their part. These are Docker images pre-installed with deep learning frameworks and libraries such as 🤗 Transformers, 🤗 Datasets, and 🤗 Tokenizers. The DLCs allow you to directly serve and train any models, skipping the complicated process of building and optimizing your serving and training environments from scratch.