Update README.md

README.md

@@ -71,7 +71,7 @@ First of all, please install tranformers and SpeechBrain with the following comm
 pip install speechbrain transformers
 ```
 
-Please notice that we encourage you to read our tutorials and learn more about
+Please notice that we encourage you to read tutorials and learn more about
 [SpeechBrain](https://speechbrain.github.io).
 
 ### Transcribing your own audio files (in Spanish)
@@ -87,38 +87,11 @@ asr_model.transcribe_file("Voyager1/asr-wav2vec2-commonvoice-es/example-es.wav")
 To perform inference on the GPU, add  `run_opts={"device":"cuda"}`  when calling the `from_hparams` method.
 
 
-### Training
-The model was trained with SpeechBrain.
-To train it from scratch follow these steps:
-1. Clone SpeechBrain:
-```bash
-git clone https://github.com/speechbrain/speechbrain/
-```
-2. Install it:
-```bash
-cd speechbrain
-pip install -r requirements.txt
-pip install -e .
-```
-
-3. Run Training:
-```bash
-cd recipes/CommonVoice/ASR/seq2seq
-python train.py hparams/train_es_with_wav2vec.yaml --data_folder=your_data_folder
-```
-
 ### Limitations
-The SpeechBrain team does not provide any warranty on the performance achieved by this model when used on other datasets.
-
-
-# **About SpeechBrain**
-- Website: https://speechbrain.github.io/
-- Code: https://github.com/speechbrain/speechbrain/
-- HuggingFace: https://huggingface.co/speechbrain/
+We do not provide any warranty on the performance achieved by this model when used on other datasets.
 
 
-# **Citing SpeechBrain**
-Please, cite SpeechBrain if you use it for your research or business.
+# **Citations**
 
 ```bibtex