Update README.md

README.md

@@ -41,16 +41,16 @@ R1 and R2 variants and pick the best for your data.
 
 - **512-96-r2**: Given the last 512 time-points (i.e. context length), this model can forecast up to next 96 time-points (i.e. forecast length)
     in future. This model is pre-trained with a larger pretraining dataset for improved accuracy. Recommended for hourly and minutely
-    resolutions (Ex. 10 min, 15 min, 1 hour, etc).   (branch name: 512-96-r2)
+    resolutions (Ex. 10 min, 15 min, 1 hour, etc).   (branch name: 512-96-r2) [[Benchmarks]](https://github.com/ibm-granite/granite-tsfm/blob/ttm_v2_release/notebooks/hfdemo/tinytimemixer/ttm-r2_benchmarking_512_96.ipynb)
   
 - **1024-96-r2**: Given the last 1024 time-points (i.e. context length), this model can forecast up to next 96 time-points (i.e. forecast length)
     in future. This model is pre-trained with a larger pretraining dataset for improved accuracy. Recommended for hourly and minutely
-    resolutions (Ex. 10 min, 15 min, 1 hour, etc).   (branch name: 1024-96-r2)
+    resolutions (Ex. 10 min, 15 min, 1 hour, etc).   (branch name: 1024-96-r2) [[Benchmarks]](https://github.com/ibm-granite/granite-tsfm/blob/ttm_v2_release/notebooks/hfdemo/tinytimemixer/ttm-r2_benchmarking_1024_96.ipynb)
  
 
 - **1536-96-r2**: Given the last 1536 time-points (i.e. context length), this model can forecast up to next 96 time-points (i.e. forecast length)
     in future. This model is pre-trained with a larger pretraining dataset for improved accuracy. Recommended for hourly and minutely
-    resolutions (Ex. 10 min, 15 min, 1 hour, etc).   (branch name: 1536-96-r2)
+    resolutions (Ex. 10 min, 15 min, 1 hour, etc).   (branch name: 1536-96-r2) [[Benchmarks]](https://github.com/ibm-granite/granite-tsfm/blob/ttm_v2_release/notebooks/hfdemo/tinytimemixer/ttm-r2_benchmarking_1536_96.ipynb)