Update README

README.md

@@ -29,7 +29,7 @@ The performance of the model is the following:
 
 | Release  | eval clean CER | eval other CER |    GPUs     |
 | :------: | :------------: | :------------: | :---------: |
-| 09-05-21 |     7.48%      |     8.38%      | 6xA100 80GB |
+| 01-23-23 |     7.33%      |     7.99%      | 6xA100 80GB |
 
 ## Pipeline description
 
@@ -42,9 +42,7 @@ transformer. Hence, the decoding also incorporates the CTC probabilities.
 ## Install SpeechBrain
 First of all, please install SpeechBrain with the following command:
 ```
-# conformer architecture of the latest version of speechbrain has changed since our release
-# please use commit hash c7621072770d725399d673b2ea71f82f6b269309
-!pip install git+https://github.com/speechbrain/speechbrain.git@c762107
+!pip install git+https://github.com/speechbrain/speechbrain.git
 ```
 Please notice that we encourage you to read our tutorials and learn more about
 [SpeechBrain](https://speechbrain.github.io).
@@ -61,7 +59,7 @@ To perform inference on the GPU, add  `run_opts={"device":"cuda"}`  when calling
 
 ## Parallel Inference on a Batch
 
-Please, [see this Colab notebook](https://colab.research.google.com/drive/10N98aGoeLGfh6Hu6xOCH5BbjVTVYgCyB?usp=sharing) on using the pretrained model
+Please, [see this Colab notebook](https://colab.research.google.com/drive/1finp9pfmGRzWHCAPNkqAH2yGH6k_BbPA?usp=sharing) on using the pretrained model
 
 ### Training
 
@@ -70,7 +68,6 @@ To train it from scratch follow these steps:
 1. Clone SpeechBrain:
 ```bash
 git clone https://github.com/speechbrain/speechbrain/
-git checkout c762107
 ```
 2. Install it:
 ```bash