Run scripts/internal/update_example_tables.py

Author: alvarobartt

README.md

@@ -46,6 +46,7 @@ The [`examples`](./examples) directory contains examples for using the container
 | --------- | ------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------------------- |
 | Vertex AI | [examples/vertex-ai/notebooks/trl-lora-sft-fine-tuning-on-vertex-ai](./examples/vertex-ai/notebooks/trl-lora-sft-fine-tuning-on-vertex-ai) | Fine-tune Gemma 2B with PyTorch Training DLC using SFT + LoRA on Vertex AI  |
 | Vertex AI | [examples/vertex-ai/notebooks/trl-full-sft-fine-tuning-on-vertex-ai](./examples/vertex-ai/notebooks/trl-full-sft-fine-tuning-on-vertex-ai) | Fine-tune Mistral 7B v0.3 with PyTorch Training DLC using SFT on Vertex AI  |
+| Vertex AI | [examples/vertex-ai/pipelines/fine-tune-paligemma-2-with-pytorch](./examples/vertex-ai/pipelines/fine-tune-paligemma-2-with-pytorch)       | Fine-tune PaliGemma 2 with PyTorch Training DLC on Vertex AI                |
 | GKE       | [examples/gke/trl-full-fine-tuning](./examples/gke/trl-full-fine-tuning)                                                                   | Fine-tune Gemma 2B with PyTorch Training DLC using SFT on GKE               |
 | GKE       | [examples/gke/trl-lora-fine-tuning](./examples/gke/trl-lora-fine-tuning)                                                                   | Fine-tune Mistral 7B v0.3 with PyTorch Training DLC using SFT + LoRA on GKE |
 
@@ -65,6 +66,7 @@ The [`examples`](./examples) directory contains examples for using the container
 | GKE       | [examples/gke/tgi-llama-405b-deployment](./examples/gke/tgi-llama-405b-deployment)                                                   | Deploy Llama 3.1 405B with TGI DLC on GKE                     |
 | GKE       | [examples/gke/tgi-llama-vision-deployment](./examples/gke/tgi-llama-vision-deployment)                                               | Deploy Llama 3.2 11B Vision with TGI DLC on GKE               |
 | GKE       | [examples/gke/tgi-deployment](./examples/gke/tgi-deployment)                                                                         | Deploy Meta Llama 3 8B with TGI DLC on GKE                    |
+| GKE       | [examples/gke/deploy-paligemma-2-with-tgi](./examples/gke/deploy-paligemma-2-with-tgi)                                               | Deploy PaliGemma 2 with TGI DLC on GKE                        |
 | GKE       | [examples/gke/tgi-from-gcs-deployment](./examples/gke/tgi-from-gcs-deployment)                                                       | Deploy Qwen2 7B with TGI DLC from GCS on GKE                  |
 | GKE       | [examples/gke/tei-deployment](./examples/gke/tei-deployment)                                                                         | Deploy Snowflake's Arctic Embed with TEI DLC on GKE           |
 | Cloud Run | [examples/cloud-run/deploy-gemma-2-on-cloud-run](./examples/cloud-run/deploy-gemma-2-on-cloud-run)                                   | Deploy Gemma2 9B with TGI DLC on Cloud Run                    |

docs/source/resources.mdx

@@ -40,6 +40,7 @@ Learn how to use Hugging Face in Google Cloud by reading our blog posts, present
 
   - [Fine-tune Gemma 2B with PyTorch Training DLC using SFT + LoRA on Vertex AI](https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/vertex-ai/notebooks/trl-lora-sft-fine-tuning-on-vertex-ai)
   - [Fine-tune Mistral 7B v0.3 with PyTorch Training DLC using SFT on Vertex AI](https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/vertex-ai/notebooks/trl-full-sft-fine-tuning-on-vertex-ai)
+  - [Fine-tune PaliGemma 2 with PyTorch Training DLC on Vertex AI](https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/vertex-ai/pipelines/fine-tune-paligemma-2-with-pytorch)
 
 - Evaluation
 
@@ -54,6 +55,7 @@ Learn how to use Hugging Face in Google Cloud by reading our blog posts, present
   - [Deploy Llama 3.1 405B with TGI DLC on GKE](https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/gke/tgi-llama-405b-deployment)
   - [Deploy Llama 3.2 11B Vision with TGI DLC on GKE](https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/gke/tgi-llama-vision-deployment)
   - [Deploy Meta Llama 3 8B with TGI DLC on GKE](https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/gke/tgi-deployment)
+  - [Deploy PaliGemma 2 with TGI DLC on GKE](https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/gke/deploy-paligemma-2-with-tgi)
   - [Deploy Qwen2 7B with TGI DLC from GCS on GKE](https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/gke/tgi-from-gcs-deployment)
   - [Deploy Snowflake's Arctic Embed with TEI DLC on GKE](https://github.com/huggingface/Google-Cloud-Containers/tree/main/examples/gke/tei-deployment)
 

examples/cloud-run/README.md

@@ -14,5 +14,4 @@ This directory contains usage examples of the Hugging Face Deep Learning Contain
 
 ## Training Examples
 
-Coming soon!
-
+Coming soon!

examples/gke/README.md

@@ -13,6 +13,7 @@ This directory contains usage examples of the Hugging Face Deep Learning Contain
 
 | Example                                                      | Title                                                         |
 | ------------------------------------------------------------ | ------------------------------------------------------------- |
+| [deploy-paligemma-2-with-tgi](./deploy-paligemma-2-with-tgi) | Deploy PaliGemma 2 with TGI DLC on GKE                        |
 | [tei-deployment](./tei-deployment)                           | Deploy Snowflake's Arctic Embed with TEI DLC on GKE           |
 | [tei-from-gcs-deployment](./tei-from-gcs-deployment)         | Deploy BGE Base v1.5 with TEI DLC from GCS on GKE             |
 | [tgi-deployment](./tgi-deployment)                           | Deploy Meta Llama 3 8B with TGI DLC on GKE                    |

examples/vertex-ai/README.md

@@ -12,6 +12,7 @@ For Google Vertex AI, we differentiate between the executable Jupyter Notebook e
 | ---------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------- |
 | [notebooks/trl-lora-sft-fine-tuning-on-vertex-ai](./notebooks/trl-lora-sft-fine-tuning-on-vertex-ai) | Fine-tune Gemma 2B with PyTorch Training DLC using SFT + LoRA on Vertex AI |
 | [notebooks/trl-full-sft-fine-tuning-on-vertex-ai](./notebooks/trl-full-sft-fine-tuning-on-vertex-ai) | Fine-tune Mistral 7B v0.3 with PyTorch Training DLC using SFT on Vertex AI |
+| [notebooks/fine-tune-paligemma-2-with-pytorch](./notebooks/fine-tune-paligemma-2-with-pytorch)       | Fine-tune PaliGemma 2 with PyTorch Training DLC on Vertex AI               |
 
 ### Inference Examples