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	<meta charset="utf-8" /><meta name="hf:doc:metadata" content="{"title":"Hugging Face on Google Cloud","local":"hugging-face-on-google-cloud","sections":[{"title":"Deploy Models on Google Cloud","local":"deploy-models-on-google-cloud","sections":[{"title":"With Hugging Face DLCs","local":"with-hugging-face-dlcs","sections":[],"depth":3},{"title":"From the Hub Model Page","local":"from-the-hub-model-page","sections":[{"title":"On Vertex AI or GKE","local":"on-vertex-ai-or-gke","sections":[],"depth":4},{"title":"On Hugging Face Inference Endpoints","local":"on-hugging-face-inference-endpoints","sections":[],"depth":4}],"depth":3},{"title":"From Vertex AI Model Garden","local":"from-vertex-ai-model-garden","sections":[{"title":"On Vertex AI or GKE","local":"on-vertex-ai-or-gke","sections":[],"depth":4}],"depth":3}],"depth":2},{"title":"Train models on Google Cloud","local":"train-models-on-google-cloud","sections":[{"title":"With Hugging Face DLCs","local":"with-hugging-face-dlcs","sections":[],"depth":3}],"depth":2},{"title":"Support","local":"support","sections":[],"depth":2}],"depth":1}">
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	<link rel="modulepreload" href="/docs/google-cloud/pr_98/en/_app/immutable/chunks/EditOnGithub.d2d81eda.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Hugging Face on Google Cloud","local":"hugging-face-on-google-cloud","sections":[{"title":"Deploy Models on Google Cloud","local":"deploy-models-on-google-cloud","sections":[{"title":"With Hugging Face DLCs","local":"with-hugging-face-dlcs","sections":[],"depth":3},{"title":"From the Hub Model Page","local":"from-the-hub-model-page","sections":[{"title":"On Vertex AI or GKE","local":"on-vertex-ai-or-gke","sections":[],"depth":4},{"title":"On Hugging Face Inference Endpoints","local":"on-hugging-face-inference-endpoints","sections":[],"depth":4}],"depth":3},{"title":"From Vertex AI Model Garden","local":"from-vertex-ai-model-garden","sections":[{"title":"On Vertex AI or GKE","local":"on-vertex-ai-or-gke","sections":[],"depth":4}],"depth":3}],"depth":2},{"title":"Train models on Google Cloud","local":"train-models-on-google-cloud","sections":[{"title":"With Hugging Face DLCs","local":"with-hugging-face-dlcs","sections":[],"depth":3}],"depth":2},{"title":"Support","local":"support","sections":[],"depth":2}],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <h1 class="relative group"><a id="hugging-face-on-google-cloud" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#hugging-face-on-google-cloud"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Hugging Face on Google Cloud</span></h1> <p data-svelte-h="svelte-5bmp1t"><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/google-cloud/thumbnail.png" alt="Hugging Face x Google Cloud"></p> <p data-svelte-h="svelte-1xc3l3u">Hugging Face collaborates with Google across open science, open source, cloud, and hardware to enable companies to build their own AI with the latest open models from Hugging Face and the latest cloud and hardware features from Google Cloud.</p> <p data-svelte-h="svelte-1pwu5f6">Hugging Face enables new experiences for Google Cloud customers. They can easily train and deploy Hugging Face models on Google Kubernetes Engine (GKE), Vertex AI, and Cloud Run, on any hardware available in Google Cloud using Hugging Face Deep Learning Containers (DLCs) or our no-code integrations.</p> <h2 class="relative group"><a id="deploy-models-on-google-cloud" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#deploy-models-on-google-cloud"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Deploy Models on Google Cloud</span></h2> <h3 class="relative group"><a id="with-hugging-face-dlcs" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#with-hugging-face-dlcs"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>With Hugging Face DLCs</span></h3> <p data-svelte-h="svelte-11vpvn2">For advanced scenarios, you can pull any Hugging Face DLCs from the Google Cloud Artifact Registry directly in your environment. We are curating a list of notebook examples on how to deploy models with Hugging Face DLCs in:</p> <ul data-svelte-h="svelte-1gscjto"><li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/vertex-ai#inference-examples" rel="nofollow">Vertex AI</a></li> <li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/gke#inference-examples" rel="nofollow">GKE</a></li> <li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/cloud-run#inference-examples" rel="nofollow">Cloud Run</a> (preview)</li></ul> <h3 class="relative group"><a id="from-the-hub-model-page" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#from-the-hub-model-page"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>From the Hub Model Page</span></h3> <h4 class="relative group"><a id="on-vertex-ai-or-gke" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#on-vertex-ai-or-gke"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>On Vertex AI or GKE</span></h4> <p data-svelte-h="svelte-18ydbzj">If you want to deploy a model from the Hub in your Google Cloud account on Vertex AI or GKE, you can use our no-code integrations. Below, you will find step-by-step instructions on how to deploy <a href="https://huggingface.co/google/gemma-2-9b-it" rel="nofollow">Gemma 2 9B</a>:</p> <ol data-svelte-h="svelte-bknuf3"><li>On the model page, open the “Deploy” menu, and select “Google Cloud”. This will bring you straight into the Google Cloud Console.</li> <li>Select Vertex AI or GKE as a deployment option.</li> <li>Paste a <a href="https://huggingface.co/docs/hub/en/security-tokens" rel="nofollow">Hugging Face Token</a> with “Read access contents of all public gated repos you can access” permission.</li> <li>If Vertex AI is selected, click on “Deploy”. If GKE is selected, paste the manifest code and apply to your EKS cluster.</li></ol> <p data-svelte-h="svelte-ysox07">Alternatively, you can follow this short video.</p> <video src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/google-cloud/deploy-google-cloud.mp4" controls autoplay muted loop></video> <h4 class="relative group"><a id="on-hugging-face-inference-endpoints" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#on-hugging-face-inference-endpoints"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>On Hugging Face Inference Endpoints</span></h4> <p data-svelte-h="svelte-1a8qq2y">If you want to deploy a model from the hub but you don’t have a Google Cloud environment, you can use Hugging Face <a href="https://huggingface.co/inference-endpoints/dedicated" rel="nofollow">Inference Endpoints</a> on Google Cloud. Below, you will find step-by-step instructions on how to deploy <a href="https://huggingface.co/google/gemma-2-9b-it" rel="nofollow">Gemma 2 9B</a>:</p> <ol data-svelte-h="svelte-12wunas"><li>On the model page, open the “Deploy” menu, and select “Inference Endpoints (dedicated)”. This will now bring you in the Inference Endpoint deployment page.</li> <li>Select Google Cloud Platform, scroll down and click on “Create Endpoint”.</li></ol> <p data-svelte-h="svelte-ysox07">Alternatively, you can follow this short video.</p> <video src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/google-cloud/inference-endpoints.mp4" controls autoplay muted loop></video> <h3 class="relative group"><a id="from-vertex-ai-model-garden" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#from-vertex-ai-model-garden"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>From Vertex AI Model Garden</span></h3> <h4 class="relative group"><a id="on-vertex-ai-or-gke" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#on-vertex-ai-or-gke"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>On Vertex AI or GKE</span></h4> <p data-svelte-h="svelte-9h4g7y">If you are used to browse models directly from Vertex AI Model Garden, we brought more than 4000 models from the Hugging Face Hub to it. Below, you will find step-by-step instructions on how to deploy <a href="https://huggingface.co/google/gemma-2-9b-it" rel="nofollow">Gemma 2 9B</a>:</p> <ol data-svelte-h="svelte-182wqk8"><li>On <a href="https://console.cloud.google.com/vertex-ai/model-garden" rel="nofollow">Vertex AI Model Garden landing page</a>, you can browse Hugging Face models:<ol><li>by clicking “Deploy From Hugging Face” at the top left</li> <li>by scrolling down to see our curated list of 12 open source models</li> <li>by clicking on “Hugging Face” in the Featured Partner section to access a catalog of 4000+ models hosted on the Hub.</li></ol></li> <li>Once you found the model that you want to deploy, you can select Vertex AI or GKE as a deployment option.</li> <li>Paste a <a href="https://huggingface.co/docs/hub/en/security-tokens" rel="nofollow">Hugging Face Token</a> with “Read access contents of all public gated repos you can access” permission.</li> <li>If Vertex AI is selected, click on “Deploy”. If GKE is selected, paste the manifest code and apply to your EKS cluster.</li></ol> <p data-svelte-h="svelte-ysox07">Alternatively, you can follow this short video.</p> <video src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/google-cloud/vertex-ai-model-garden.mp4" controls autoplay muted loop></video> <h2 class="relative group"><a id="train-models-on-google-cloud" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#train-models-on-google-cloud"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Train models on Google Cloud</span></h2> <h3 class="relative group"><a id="with-hugging-face-dlcs" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#with-hugging-face-dlcs"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>With Hugging Face DLCs</span></h3> <p data-svelte-h="svelte-t4yjhy">For advanced scenarios, you can pull the containers from the Google Cloud Artifact Registry directly in your environment. We are curating a list of notebook examples on how to train models with Hugging Face DLCs in:</p> <ul data-svelte-h="svelte-1t40s5r"><li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/vertex-ai#training-examples" rel="nofollow">Vertex AI</a></li> <li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/gke#training-examples" rel="nofollow">GKE</a></li></ul> <h2 class="relative group"><a id="support" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#support"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Support</span></h2> <p data-svelte-h="svelte-18g7ow5">If you have any issues using Hugging Face on Google Cloud, you can get community support by creating a new topic in the <a href="https://discuss.huggingface.co/c/google-cloud/69/l/latest" rel="nofollow">Forum</a> dedicated to Google Cloud usage.</p> <p data-svelte-h="svelte-rlga4q">Hugging Face DLCs are open source and licensed under Apache 2.0 within the <a href="https://github.com/huggingface/Google-Cloud-Containers" rel="nofollow">Google-Cloud-Containers</a> repository. For premium support, our <a href="https://huggingface.co/support" rel="nofollow">Expert Support Program</a> gives you direct dedicated support from our team.</p> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/Google-Cloud-Containers/blob/main/docs/source/index.mdx" target="_blank"><span data-svelte-h="svelte-1kd6by1"><</span> <span data-svelte-h="svelte-x0xyl0">></span> <span data-svelte-h="svelte-1dajgef"><span class="underline ml-1.5">Update</span> on GitHub</span></a> <p></p>

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