Fixing the example in generation strategy doc (#37598)

Update generation_strategies.md

The prompt text shown in the example does not match what is inside the generated output. As the generated output always include the prompt, the correct prompt should be "Hugging Face is an open-source company".

Author: jeasinema

docs/source/en/generation_strategies.md

@@ -31,7 +31,7 @@ import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
 tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-2-7b-hf")
-inputs = tokenizer("I look forward to", return_tensors="pt").to("cuda")
+inputs = tokenizer("Hugging Face is an open-source company", return_tensors="pt").to("cuda")
 
 model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf", torch_dtype=torch.float16).to("cuda")
 # explicitly set to default length because Llama2 generation length is 4096