Grammar fixes and installing torch for CI build

inference/nlp/realtime/huggingface/sentence-transformers-triton-ensemble/examples/triton_sentence_embeddings.ipynb

@@ -155,7 +155,7 @@
     "\n",
     "In the following cells, we are using [HuggingFace Auto Classes](https://huggingface.co/docs/transformers/model_doc/auto) to load a pre-trained model from the [HuggingFace Model Hub](https://huggingface.co/models). We then convert the model to the ONNX format, and compile it using NVIDIA TensorRT - namely its command-line wrapper tool, `trtexec` -, using the scripts provided in the official AWS Sample for [SageMaker Triton](https://github.com/aws/amazon-sagemaker-examples/tree/main/sagemaker-triton).\n",
     "\n",
-    "NVIDIA TensorRT is an SDK that facilitates high-performance machine learning inference. You can use it to create `engines` from models that have alredy been trained, \n",
+    "NVIDIA TensorRT is an SDK that facilitates high-performance machine learning inference. You can use it to create `engines` from models that have already been trained, \n",
     "optimizing for a selected GPU architecture. Triton natively supports the TensorRT runtime, which enables you to easily deploy a TensorRT engine and pair it with the rich features that Triton provides.\n",
     "\n",
     "### Parameters:\n",