Update README.md

README.md

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 # Model Card for TTM
 
-TTM, also known as TinyTimeMixer, is a compact pre-trained model for Time-Series Forecasting, open-sourced by IBM Research.
-With less than 1 Million parameters, TTM introduces the notion of the first-ever “tiny” pre-trained models for Time-Series Forecasting. 
-TTM outperforms several popular benchmarks 
-demanding billions of parameters in zero-shot and few-shot forecasting. TTM is pre-trained on diverse public time-series datasets which 
-can 
-be easily fine-tuned for your target data. Refer to our [paper](https://arxiv.org/pdf/2401.03955.pdf) for more details.
+**TTM, also known as TinyTimeMixer, is a compact pre-trained model for Time-Series Forecasting, open-sourced by IBM Research**.
+**With less than 1 Million parameters, TTM introduces the notion of the first-ever “tiny” pre-trained models for Time-Series Forecasting.** 
+
+TTM outperforms several popular benchmarks demanding billions of parameters in zero-shot and few-shot forecasting. TTM is pre-trained on diverse public time-series datasets which 
+can be easily fine-tuned for your target data. Refer to our [paper](https://arxiv.org/pdf/2401.03955.pdf) for more details.
 
 **Note that zeroshot, fine-tuning and inference tasks using TTM can easily be executed in 1 GPU machine or in laptops too!!**