diff --git a/docs/sagemaker/tgi.md b/docs/sagemaker/tgi.md
index a28cd4284..3b9abf4d6 100644
--- a/docs/sagemaker/tgi.md
+++ b/docs/sagemaker/tgi.md
@@ -5,3 +5,31 @@
 Below, you can find a list of the latest available images for TGI for use on AWS SageMaker.
 
 To find the latest supported versions of the HF DLCs, check out https://aws.amazon.com/releasenotes/dlc-support-policy/
+
+<!-- START AUTOGEN TABLE -->
+## huggingface-pytorch-tgi-inference
+
+| Framework Version | Image Type | Image URI | Size (GB) | Pushed At | Details |
+| --- | --- | --- | --- | --- | --- |
+| 2.4 | gpu | `763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-tgi-inference:2.4.0-tgi3.0.1-gpu-py311-cu124-ubuntu22.04-v2.1` | 6.49 | 2025-01-21 19:37:15 | [Details](https://github.com/aws/deep-learning-containers/blob/master/available_images.md#huggingface-text-generation-inference-tgi-containers) |
+| 2.3 | gpu | `763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-tgi-inference:2.3.0-tgi2.2.0-gpu-py310-cu121-ubuntu22.04-v2.1` | 4.92 | 2024-10-04 21:59:12 | [Details](https://github.com/aws/deep-learning-containers/blob/master/available_images.md#huggingface-text-generation-inference-tgi-containers) |
+
+
+### SM Example
+```
+# create Hugging Face Model Class
+huggingface_model = HuggingFaceModel(
+	image_uri=get_huggingface_llm_image_uri("huggingface",version="2.4"),
+	env=<insert_hub_obj>,
+	role=<insert_role>, 
+)
+
+# deploy model to SageMaker Inference
+predictor = huggingface_model.deploy(
+	initial_instance_count=1,
+	instance_type="ml.g6.48xlarge",
+	container_startup_health_check_timeout=2400,
+)
+```
+                          
+<!-- END AUTOGEN TABLE -->
\ No newline at end of file
diff --git a/docs/sagemaker/transformers.md b/docs/sagemaker/transformers.md
index ee405debc..0e1522b23 100644
--- a/docs/sagemaker/transformers.md
+++ b/docs/sagemaker/transformers.md
@@ -5,3 +5,60 @@
 Below, we include a list of the latest images available on AWS, which come pre-packaged with transformers and [datasets](https://huggingface.co/docs/datasets/en/index) libraries for your convenience. Check out some of the tutorials in the reference section for more information!
 
  To find the latest supported versions of the HF DLCs, check out https://aws.amazon.com/releasenotes/dlc-support-policy/
+
+<!-- START AUTOGEN TABLE -->
+## huggingface-pytorch-training
+
+| Framework Version | Image Type | Image URI | Size (GB) | Pushed At | Details |
+| --- | --- | --- | --- | --- | --- |
+| 2.3 | gpu | `763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training:2.3.0-transformers4.46.1-gpu-py311-cu121-ubuntu20.04-v1.0` | 8.78 | 2024-11-12 19:49:17 | [Details](https://github.com/aws/deep-learning-containers/blob/master/available_images.md#huggingface-training-containers) |
+
+
+### SM Example
+```
+# create Hugging Face Model Class
+huggingface_model = HuggingFaceModel(
+	image_uri=get_huggingface_llm_image_uri("huggingface",version="2.3"),
+	env=<insert_hub_obj>,
+	role=<insert_role>, 
+)
+
+# deploy model to SageMaker Inference
+predictor = huggingface_model.deploy(
+	initial_instance_count=1,
+	instance_type="ml.g6.48xlarge",
+	container_startup_health_check_timeout=2400,
+)
+```
+                          
+
+## huggingface-pytorch-inference
+
+| Framework Version | Image Type | Image URI | Size (GB) | Pushed At | Details |
+| --- | --- | --- | --- | --- | --- |
+| 2.3 | gpu | `763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-inference:2.3.0-transformers4.46.1-gpu-py311-cu121-ubuntu20.04-v1.0` | 9.06 | 2024-12-21 19:19:57 | [Details](https://github.com/aws/deep-learning-containers/blob/master/available_images.md#huggingface-inference-containers) |
+| 2.3 | cpu | `763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-inference:2.3.0-transformers4.46.1-cpu-py311-ubuntu22.04-v1.0` | 1.4 | 2024-12-21 19:11:54 | [Details](https://github.com/aws/deep-learning-containers/blob/master/available_images.md#huggingface-inference-containers) |
+
+
+### SM Example
+```
+# create Hugging Face Model Class
+huggingface_model = HuggingFaceModel(
+	image_uri=get_huggingface_llm_image_uri("huggingface",version="2.3"),
+	env=<insert_hub_obj>,
+	role=<insert_role>, 
+)
+
+# deploy model to SageMaker Inference
+predictor = huggingface_model.deploy(
+	initial_instance_count=1,
+	instance_type="ml.g6.48xlarge",
+	container_startup_health_check_timeout=2400,
+)
+```
+                          
+
+
+
+
+<!-- END AUTOGEN TABLE -->
\ No newline at end of file