mirror of https://github.com/Chocobozzz/PeerTube
1.0 KiB
1.0 KiB
DeepLearningFramework vs training libraries
https://github.com/openai/whisper/blob/main/whisper/init.py#L144
interface DeepLearningFramework {
name: string
}
const deepLearningFrameworks: DeepLearningFramework = [
{
name: 'PyTorch',
distributed: true,
gpu: true
},
{
name: 'TensorFlow'
}
]
What about the lifecycle of each transcriber ?
- install => installer
- update => udpater
For the Python packages :
- Install
pip install <package-name>
Package version should be constraint to a version compatible with our wrapper. We could also attempt to run our test against different version of the lib to be future ready.
- Update
pip install -U <package-name>
Need the package name somewhere in the model
Whisper timestamped discrepancies
- Lower case instead of upper case
- missing .json file
- binary name is awkard, package is name whisper-timestamped and binary name is whisper-tiomestamped
https://github.com/linto-ai/whisper-timestamped/issues?q=is:issue+author:lutangar