Fix typo in index.md (#1389)

Author: alvarobartt

docs/sagemaker/index.md

@@ -16,7 +16,7 @@ Hugging Face DLCs are open source and licensed under Apache 2.0. Feel free to re
 
 ## Features & benefits 🔥
 
-Hugging Face Deep DLCs make it easier than ever to train Transformer models in SageMaker. Here is why you should consider using Hugging Face DLCs to train and deploy your next machine learning models:
+Hugging Face DLCs make it easier than ever to train Transformer models in SageMaker. Here is why you should consider using Hugging Face DLCs to train and deploy your next machine learning models:
 
 **One command is all you need**
 
@@ -81,4 +81,4 @@ Take a look at our published blog posts, videos, documentation, sample notebooks
 - [Distributed Training Summarization](https://github.com/huggingface/notebooks/blob/main/sagemaker/08_distributed_summarization_bart_t5/sagemaker-notebook.ipynb)
 - [Image Classification with Vision Transformer](https://github.com/huggingface/notebooks/blob/main/sagemaker/09_image_classification_vision_transformer/sagemaker-notebook.ipynb)
 - [Deploy one of the 10 000+ Hugging Face Transformers to Amazon SageMaker for Inference](https://github.com/huggingface/notebooks/blob/main/sagemaker/11_deploy_model_from_hf_hub/deploy_transformer_model_from_hf_hub.ipynb)
-- [Deploy a Hugging Face Transformer model from S3 to SageMaker for inference](https://github.com/huggingface/notebooks/blob/main/sagemaker/10_deploy_model_from_s3/deploy_transformer_model_from_s3.ipynb)
+- [Deploy a Hugging Face Transformer model from S3 to SageMaker for inference](https://github.com/huggingface/notebooks/blob/main/sagemaker/10_deploy_model_from_s3/deploy_transformer_model_from_s3.ipynb)