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		<link rel="modulepreload" href="/docs/google-cloud/pr_155/en/_app/immutable/chunks/MermaidChart.svelte_svelte_type_style_lang.7c119f85.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;📄 Other Resources&quot;,&quot;local&quot;:&quot;-other-resources&quot;,&quot;sections&quot;:[{&quot;title&quot;:&quot;Blog posts&quot;,&quot;local&quot;:&quot;blog-posts&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;Presentations&quot;,&quot;local&quot;:&quot;presentations&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;Google Documentation&quot;,&quot;local&quot;:&quot;google-documentation&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;Examples&quot;,&quot;local&quot;:&quot;examples&quot;,&quot;sections&quot;:[{&quot;title&quot;:&quot;Vertex AI&quot;,&quot;local&quot;:&quot;vertex-ai&quot;,&quot;sections&quot;:[],&quot;depth&quot;:3},{&quot;title&quot;:&quot;GKE&quot;,&quot;local&quot;:&quot;gke&quot;,&quot;sections&quot;:[],&quot;depth&quot;:3},{&quot;title&quot;:&quot;Cloud Run&quot;,&quot;local&quot;:&quot;cloud-run&quot;,&quot;sections&quot;:[],&quot;depth&quot;:3}],&quot;depth&quot;:2}],&quot;depth&quot;:1}"><!-- HEAD_svelte-u9bgzb_END -->      <p></p>  <div class="items-center shrink-0 min-w-[100px] max-sm:min-w-[50px] justify-end ml-auto flex" style="float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"><div class="inline-flex rounded-md max-sm:rounded-sm"><button class="inline-flex items-center gap-1 h-7 max-sm:h-7 px-2 max-sm:px-1.5 text-sm font-medium text-gray-800 border border-r-0 rounded-l-md max-sm:rounded-l-sm border-gray-200 bg-white hover:shadow-inner dark:border-gray-850 dark:bg-gray-950 dark:text-gray-200 dark:hover:bg-gray-800" aria-live="polite"><span 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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>📄 Other Resources</span></h1> <p data-svelte-h="svelte-1fi1r4w">Learn how to use Hugging Face in Google Cloud by reading our blog posts, presentations, Google documentation and examples below.</p>  <h2 class="relative group"><a id="blog-posts" 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="#blog-posts"><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>Blog posts</span></h2> <ul data-svelte-h="svelte-1x1uzg9"><li><a href="https://huggingface.co/blog/google-cloud" rel="nofollow">Building for an Open Future - our new partnership with Google Cloud</a></li> <li><a href="https://huggingface.co/blog/gcp-partnership" rel="nofollow">Hugging Face and Google partner for open AI collaboration</a></li> <li><a href="https://huggingface.co/blog/tpu-inference-endpoints-spaces" rel="nofollow">Google Cloud TPUs made available to Hugging Face users</a></li> <li><a href="https://huggingface.co/blog/google-cloud-model-garden" rel="nofollow">Making thousands of open LLMs bloom in the Vertex AI Model Garden</a></li> <li><a href="https://huggingface.co/blog/llama31-on-vertex-ai" rel="nofollow">Deploy Meta Llama 3.1 405B on Google Cloud Vertex AI</a></li></ul>  <h2 class="relative group"><a id="presentations" 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="#presentations"><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>Presentations</span></h2> <ul data-svelte-h="svelte-1q62dpl"><li><a href="https://rsvp.withgoogle.com/events/gemma-dev-day_2024tokyo/sessions/hugging-face-transformers" rel="nofollow">Gemma Developer Day in Tokyo | Unleashing Gemma in production with Hugging Face Text Generation Inference (TGI)</a></li></ul>  <h2 class="relative group"><a id="google-documentation" 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="#google-documentation"><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>Google Documentation</span></h2> <ul data-svelte-h="svelte-hnzmg6"><li><a href="https://cloud.google.com/deep-learning-containers/docs/choosing-container#hugging-face" rel="nofollow">Google Cloud Hugging Face Deep Learning Containers</a></li> <li><a href="https://console.cloud.google.com/artifacts/docker/deeplearning-platform-release/us/gcr.io" rel="nofollow">Google Cloud public Artifact Registry for DLCs</a></li> <li><a href="https://cloud.google.com/kubernetes-engine/docs/tutorials/serve-gemma-gpu-tgi" rel="nofollow">Serve Gemma open models using GPUs on GKE with Hugging Face TGI</a></li> <li><a href="https://cloud.google.com/vertex-ai/generative-ai/docs/open-models/use-hugging-face-models" rel="nofollow">Generative AI on Vertex - Use Hugging Face text generation models</a></li></ul>  <h2 class="relative group"><a id="examples" 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="#examples"><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>Examples</span></h2> <ul data-svelte-h="svelte-q49mqk"><li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples" rel="nofollow">All examples</a></li></ul>  <h3 class="relative group"><a id="vertex-ai" 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="#vertex-ai"><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>Vertex AI</span></h3> <ul data-svelte-h="svelte-d4xea4"><li><p>Inference</p> <ul><li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/vertex-ai/notebooks/deploy-bert-on-vertex-ai" rel="nofollow">Deploy BERT Models with PyTorch Inference DLC on Vertex AI</a></li> <li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/vertex-ai/notebooks/deploy-embedding-on-vertex-ai" rel="nofollow">Deploy Embedding Models with TEI DLC on Vertex AI</a></li> <li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/vertex-ai/notebooks/deploy-flux-on-vertex-ai" rel="nofollow">Deploy FLUX with PyTorch Inference DLC on Vertex AI</a></li> <li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/vertex-ai/notebooks/deploy-gemma-from-gcs-on-vertex-ai" rel="nofollow">Deploy Gemma 7B with TGI DLC from GCS on Vertex AI</a></li> <li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/vertex-ai/notebooks/deploy-gemma-on-vertex-ai" rel="nofollow">Deploy Gemma 7B with TGI DLC on Vertex AI</a></li> <li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/vertex-ai/notebooks/deploy-llama-vision-on-vertex-ai" rel="nofollow">Deploy Llama 3.2 11B Vision with TGI DLC on Vertex AI</a></li> <li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/vertex-ai/notebooks/deploy-llama-3-1-405b-on-vertex-ai" rel="nofollow">Deploy Meta Llama 3.1 405B with TGI DLC on Vertex AI</a></li></ul></li> <li><p>Training</p> <ul><li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/vertex-ai/notebooks/trl-full-sft-fine-tuning-on-vertex-ai" rel="nofollow">Fine-tune Mistral 7B v0.3 with PyTorch Training DLC using SFT on Vertex AI</a></li> <li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/vertex-ai/notebooks/trl-lora-sft-fine-tuning-on-vertex-ai" rel="nofollow">Fine-tune Mistral 7B with PyTorch Training DLC using SFT + LoRA on Vertex AI</a></li></ul></li> <li><p>Evaluation</p> <ul><li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/vertex-ai/notebooks/evaluate-llms-with-vertex-ai" rel="nofollow">Evaluate open LLMs with Vertex AI and Gemini</a></li></ul></li></ul>  <h3 class="relative group"><a id="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="#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>GKE</span></h3> <ul data-svelte-h="svelte-1fzjuuj"><li><p>Inference</p> <ul><li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/gke/tei-from-gcs-deployment" rel="nofollow">Deploy BGE Base v1.5 with TEI DLC from GCS on GKE</a></li> <li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/gke/tgi-multi-lora-deployment" rel="nofollow">Deploy Gemma2 with multiple LoRA adapters with TGI DLC on GKE</a></li> <li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/gke/tgi-llama-405b-deployment" rel="nofollow">Deploy Llama 3.1 405B with TGI DLC on GKE</a></li> <li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/gke/tgi-llama-vision-deployment" rel="nofollow">Deploy Llama 3.2 11B Vision with TGI DLC on GKE</a></li> <li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/gke/tgi-deployment" rel="nofollow">Deploy Meta Llama 3 8B with TGI DLC on GKE</a></li> <li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/gke/tgi-from-gcs-deployment" rel="nofollow">Deploy Qwen2 7B with TGI DLC from GCS on GKE</a></li> <li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/gke/tei-deployment" rel="nofollow">Deploy Snowflake’s Arctic Embed with TEI DLC on GKE</a></li></ul></li> <li><p>Training</p> <ul><li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/gke/trl-full-fine-tuning" rel="nofollow">Fine-tune Gemma 2B with PyTorch Training DLC using SFT on GKE</a></li> <li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/gke/trl-lora-fine-tuning" rel="nofollow">Fine-tune Mistral 7B v0.3 with PyTorch Training DLC using SFT + LoRA on GKE</a></li></ul></li></ul>  <h3 class="relative group"><a id="cloud-run" 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="#cloud-run"><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>Cloud Run</span></h3> <ul data-svelte-h="svelte-x7qoxx"><li><p>Inference</p> <ul><li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/cloud-run/finewiki-embeddings-with-embedding-gemma" rel="nofollow">100,000 FineWiki embeddings with EmbeddingGemma on Cloud Run</a></li> <li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/cloud-run/deploy-gemma-2-on-cloud-run" rel="nofollow">Deploy Gemma2 9B with TGI DLC on Cloud Run</a></li> <li><a href="https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/cloud-run/deploy-llama-3-1-on-cloud-run" rel="nofollow">Deploy Llama 3.1 8B with TGI DLC on Cloud Run</a></li></ul></li></ul> <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/resources.mdx" target="_blank"><svg class="mr-1" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M31,16l-7,7l-1.41-1.41L28.17,16l-5.58-5.59L24,9l7,7z"></path><path d="M1,16l7-7l1.41,1.41L3.83,16l5.58,5.59L8,23l-7-7z"></path><path d="M12.419,25.484L17.639,6.552l1.932,0.518L14.351,26.002z"></path></svg> <span data-svelte-h="svelte-zjs2n5"><span class="underline">Update</span> on GitHub</span></a>  <p></p> 
			
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