Update README.md

Add inference endpoint information

README.md

@@ -10,7 +10,6 @@ language:
 > This model is an instruction tuned model which requires alignment before it can be used in production. We will release
 > the chat version soon.
 
-
 Fox-1 is a decoder-only transformer-based small language model (SLM) with 1.6B total parameters developed
 by [TensorOpera AI](https://tensoropera.ai/). The model was pre-trained with a 3-stage data curriculum on 3 trillion
 tokens of text and code data in 8K sequence length. Fox-1 uses Grouped Query Attention (GQA) with 4 key-value heads and
@@ -22,6 +21,15 @@ was finetuned with 5B tokens of instruction following and multi-turn conversatio
 For the full details of this model please read
 our [release blog post](https://blog.tensoropera.ai/tensoropera-unveils-fox-foundation-model-a-pioneering-open-source-slm-leading-the-way-against-tech-giants).
 
+## Getting-Started
+
+The model and a live inference endpoint are available on
+the [TensorOpera AI Platform](https://tensoropera.ai/models/1228?owner=tensoropera).
+
+For detailed deployment instructions, refer to
+the [Step-by-Step Guide](https://blog.tensoropera.ai/how-to/how-to-deploy-fox-1-on-tensoropera-ai-a-step-by-step-guide-2/)
+on how to deploy Fox-1-Instruct on the [TensorOpera AI Platform](https://tensoropera.ai/).
+
 ## Benchmarks
 
 We evaluated Fox-1 on ARC Challenge (25-shot), HellaSwag (10-shot), TruthfulQA (0-shot), MMLU (5-shot),