Update README.md

README.md

@@ -85,34 +85,13 @@ Please notice that we encourage you to read our tutorials and learn more about
 from speechbrain.pretrained import WhisperASR
 
 asr_model = WhisperASR.from_hparams(source="chaanks/asr-whisper-tiny-sb", savedir="pretrained_models/asr-whisper-tiny-sb")
-asr_model.transcribe_file("speechbrain/chaanks/asr-whisper-tiny-sb/example.wav")
+asr_model.transcribe_file("chaanks/asr-whisper-tiny-sb/example.wav")
 
 
 ```
 ### Inference on GPU
 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/transformer/
-python train_with_whisper.py hparams/train_ar_hf_whisper.yaml --data_folder=your_data_folder
-```
-
-You can find our training results (models, logs, etc) [here](https://drive.google.com/drive/folders/10mYPYfj9NpDNAa0nO16Zd_K1bIEUOIpx?usp=share_link).
 
 ### Limitations
 The SpeechBrain team does not provide any warranty on the performance achieved by this model when used on other datasets.