---
title: README
emoji: 👁
colorFrom: gray
colorTo: pink
sdk: static
pinned: false
---

# Whisper Fine-Tuning Event 🤗

----------------------------------------------------------------
 Whisper Fine-Tuning Event
----------------------------------------------------------------

https://github.com/huggingface/community-events/blob/main/whisper-fine-tuning-event/README.md

----------------------------------------------------------------
 Sign in to Lambdalabs
----------------------------------------------------------------

https://cloud.lambdalabs.com/instances

and create a new instance with a A100 GPU without disk storage

----------------------------------------------------------------
  Log in to Huggingface
----------------------------------------------------------------

```
pip install git+https://github.com/huggingface/transformers
```

```
git config --global credential.helper store
huggingface-cli login
```

#### Provide Huggingface access token for your account

https://huggingface.co./settings/tokens

----------------------------------------------------------------
 Clone Whisper train project for run scripts
----------------------------------------------------------------

```
git clone https://huggingface.co./bjelkenhed/whisper-train-ts
```

----------------------------------------------------------------
 Install requirements and python libraries
----------------------------------------------------------------

```
sudo apt-get install git-lfs
```

```
pip install --pre --force-reinstall torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cu117

pip install -r whisper-medium/requirements.txt

python -c "import torch; print(torch.cuda.is_available())"

```


----------------------------------------------------------------
 Create and clone Huggingface model repository
----------------------------------------------------------------

Create a new model named whisper-small-sv (change to your selected name in following sections)

```
huggingface-cli repo create whisper-medium-ts-sv
```

```
git clone https://huggingface.co./bjelkenhed/whisper-medium-ts-sv

cd whisper-medium-ts-sv
git lfs install
```

----------------------------------------------------------------
 Copy runscripts to model 
----------------------------------------------------------------

```
cp ~/whisper-small/run.sh ~/whisper-small/run_speech_recognition_seq2seq_streaming.py .
```

or

```
cp ~/whisper-medium/run.sh ~/whisper-medium/run_speech_recognition_seq2seq_streaming.py .
```

or

```
cp ~/whisper-large/run.sh ~/whisper-large/run_speech_recognition_seq2seq_streaming.py .
```

----------------------------------------------------------------
  Start training
----------------------------------------------------------------

```
tmux new -s mysession
```

```
bash run.sh
```


# To resume session

```
tmux a -t mysession
```