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Releases: Dadangdut33/Speech-Translate

1.3.10 - Add option to not use .en model

07 Jan 15:06
@Dadangdut33 Dadangdut33
1.3.10
eab18b0
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1.3.10 - Add option to not use .en model Latest
Latest

Small addition / changes

What's Changed

  • [New] add option to not use .en model for english language
  • [Fix] fix cases where translation will show error when it's only translating digits of number

Full Changelog: 1.3.9...1.3.10

Notes

  • Before downloading / installing please take a look at the wiki and read the getting started section.
  • Use the CUDA version for GPU support
  • Linux/Mac user can follow this installation note to install Speech Translate as module.
  • If you previously installed speech translate as a module, you can update by doing pip install -U git+https://github.com/Dadangdut33/Speech-Translate.git --upgrade --force-reinstall --no-deps
  • If you install from installer, you can download and launch the installer below to update
  • If you have any suggestions or found any bugs please feel free to open a disccussion or open an issue

Requirements
  • Compatible OS Installation:
OS Installation from Prebuilt binary Installation as a Module Installation from Git
Windows ✔️ ✔️ ✔️
MacOS ❌ ✔️ ✔️
Linux ❌ ✔️ ✔️

* Python 3.8 or later (3.11 is recommended) for installation as module.

Size Parameters Required VRAM Relative speed
tiny 39 M ~1 GB ~32x
base 74 M ~1 GB ~16x
small 244 M ~2 GB ~6x
medium 769 M ~5 GB ~2x
large 1550 M ~10 GB 1x

* This information is also available in the app (hover over the model selection in the app and there will be a tooltip about the model info). Also note that when using faster-whisper, the model speed will be significantly faster and have smaller vram usage, for more information about this please visit faster-whisper repository

Assets 9
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1.3.9 - Minor bug Fix

02 Jan 11:01
@Dadangdut33 Dadangdut33
1.3.9
2e54776
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1.3.9 - Minor bug Fix

This release fixed some minor bugs that can prevent logging in record.

What's Changed

  • Fix the latest release url in about window
  • Fix Error when activating Debug recording #64

Full Changelog: 1.3.8.1...1.3.9

Notes

  • Before downloading / installing please take a look at the wiki and read the getting started section.
  • Use the CUDA version for GPU support
  • Linux/Mac user can follow this installation note to install Speech Translate as module.
  • If you previously installed speech translate as a module, you can update by doing pip install -U git+https://github.com/Dadangdut33/Speech-Translate.git --upgrade --force-reinstall --no-deps
  • If you install from installer, you can download and launch the installer below to update
  • If you have any suggestions or found any bugs please feel free to open a disccussion or open an issue

Requirements
  • Compatible OS Installation:
OS Installation from Prebuilt binary Installation as a Module Installation from Git
Windows ✔️ ✔️ ✔️
MacOS ❌ ✔️ ✔️
Linux ❌ ✔️ ✔️

* Python 3.8 or later (3.11 is recommended) for installation as module.

Size Parameters Required VRAM Relative speed
tiny 39 M ~1 GB ~32x
base 74 M ~1 GB ~16x
small 244 M ~2 GB ~6x
medium 769 M ~5 GB ~2x
large 1550 M ~10 GB 1x

* This information is also available in the app (hover over the model selection in the app and there will be a tooltip about the model info). Also note that when using faster-whisper, the model speed will be significantly faster and have smaller vram usage, for more information about this please visit faster-whisper repository

Assets 9
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1.3.8.1 - Fix model checking

31 Dec 10:47
@Dadangdut33 Dadangdut33
1.3.8.1
f795240
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1.3.8.1 - Fix model checking

This release fix model checking bug in the previous version

What's Changed

  • Fix faster whisper model checking #63

Full Changelog: 1.3.8...1.3.8.1

Notes

  • Before downloading / installing please take a look at the wiki and read the getting started section.
  • Use the CUDA version for GPU support
  • Linux/Mac user can follow this installation note to install Speech Translate as module.
  • If you previously installed speech translate as a module, you can update by doing pip install -U git+https://github.com/Dadangdut33/Speech-Translate.git --upgrade --force-reinstall --no-deps
  • If you install from installer, you can download and launch the installer below to update
  • If you have any suggestions or found any bugs please feel free to open a disccussion or open an issue

Requirements
  • Compatible OS Installation:
OS Installation from Prebuilt binary Installation as a Module Installation from Git
Windows ✔️ ✔️ ✔️
MacOS ❌ ✔️ ✔️
Linux ❌ ✔️ ✔️

* Python 3.8 or later (3.11 is recommended) for installation as module.

Size Parameters Required VRAM Relative speed
tiny 39 M ~1 GB ~32x
base 74 M ~1 GB ~16x
small 244 M ~2 GB ~6x
medium 769 M ~5 GB ~2x
large 1550 M ~10 GB 1x

* This information is also available in the app (hover over the model selection in the app and there will be a tooltip about the model info). Also note that when using faster-whisper, the model speed will be significantly faster and have smaller vram usage, for more information about this please visit faster-whisper repository

Assets 9
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1.3.8 - Bug Fixes & Enhancement

30 Dec 15:04
@Dadangdut33 Dadangdut33
1.3.8
462e6f0
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1.3.8 - Bug Fixes & Enhancement

This release fix some bugs and add improvement to the startup time

What's Changed

  • Fix model checking when no internet
  • Fix prebuilt app might not start #62
  • Fix align result
  • Added splash screen in the startup
  • Greatly improve startup speed

Full Changelog: 1.3.7...1.3.8

Notes

  • Before downloading / installing please take a look at the wiki and read the getting started section.
  • Use the CUDA version for GPU support
  • Linux/Mac user can follow this installation note to install.
  • If you previously installed speech translate as a module, you can update by doing pip install -U git+https://github.com/Dadangdut33/Speech-Translate.git --upgrade --force-reinstall --no-deps
  • If you install from installer, you can download and launch the installer below to update
  • If you have any suggestions or found any bugs please feel free to open a disccussion or open an issue

Requirements
  • Compatible OS Installation:
OS Installation from Prebuilt binary Installation as a Module Installation from Git
Windows ✔️ ✔️ ✔️
MacOS ❌ ✔️ ✔️
Linux ❌ ✔️ ✔️

* Python 3.8 or later (3.11 is recommended) for installation as module.

Size Parameters Required VRAM Relative speed
tiny 39 M ~1 GB ~32x
base 74 M ~1 GB ~16x
small 244 M ~2 GB ~6x
medium 769 M ~5 GB ~2x
large 1550 M ~10 GB 1x

* This information is also available in the app (hover over the model selection in the app and there will be a tooltip about the model info). Also note that when using faster-whisper, the model speed will be significantly faster and have smaller vram usage, for more information about this please visit faster-whisper repository

Assets 9
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1.3.7 - Some enhancement for record

17 Dec 07:46
@Dadangdut33 Dadangdut33
1.3.7
bbf2519
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1.3.7 - Some enhancement for record

This release added some little feature that is mainly for record.

I would like to say once again, thanks for all the download and feedbacks everyone

What's Changed

  • Added option for no sentence limit on record #57
  • Added option for auto scrolling the record result
  • Added confirmation prompt before record (this confirmation prompt can be disabled in setting)
  • Added ways to run without the tray app by adding --no-tray when launching the app. Ex: .\SpeechTranslate.exe --no-tray
  • Changed the emoji icon to NotoEmoji
  • Fixed some stuff when run from linux

Full Changelog: 1.3.6...1.3.7

Notes

  • Before downloading / installing please take a look at the wiki and read the getting started section.
  • Use the CUDA version for GPU support
  • If you previously installed speech translate as a module, you can update by doing pip install -U git+https://github.com/Dadangdut33/Speech-Translate.git --upgrade --force-reinstall --no-deps
  • If you install from installer, you can download and launch the installer below to update
  • If you have any suggestions or found any bugs please feel free to open a disccussion or open an issue

Requirements
  • Compatible OS Installation:
OS Installation from Prebuilt binary Installation as a Module Installation from Git
Windows ✔️ ✔️ ✔️
MacOS ❌ ✔️ ✔️
Linux ❌ ✔️ ✔️

* Python 3.8 or later (3.11 is recommended) for installation as module.

Size Parameters Required VRAM Relative speed
tiny 39 M ~1 GB ~32x
base 74 M ~1 GB ~16x
small 244 M ~2 GB ~6x
medium 769 M ~5 GB ~2x
large 1550 M ~10 GB 1x

* This information is also available in the app (hover over the model selection in the app and there will be a tooltip about the model info). Also note that when using faster-whisper, the model speed will be significantly faster and have smaller vram usage, for more information about this please visit faster-whisper repository

Assets 9
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1.3.6 - Bug Fixes and Enhancement

11 Dec 17:02
@Dadangdut33 Dadangdut33
1.3.6
4bcb6da
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1.3.6 - Bug Fixes and Enhancement

It seems that we have reached 7.4k download and almost 300 stars as of the time i release this 🚀

Thank you very much everyone for the participation in downloading, starring, forking, opening discussion, and submitting bug reports or feature request.

What's Changed

  • Fixed translate with whisper not showing result in record
  • Fixed continue after model download prompt
  • Fixed random crashing when using faster whisper
  • Fixed getting frame window in record
  • Fixed log format when clear or change mode
  • Changed some default option
  • FFmpeg is now bundled with the app using static-ffmpeg #56 thanks to @zackees for the suggestion
  • Added ways to filter result to counter hallucination
  • Added optional silero vad that can be used alongside webrtcvad if possible on record
  • Added setting for record min input length

Full Changelog: 1.3.5...1.3.6

Notes

  • Before downloading / installing please take a look at the wiki and read the getting started section.
  • If you previously installed speech translate as a module, you can update by doing pip install -U git+https://github.com/Dadangdut33/Speech-Translate.git --upgrade --force-reinstall
  • If you install from installer, you can download and launch the installer below to update
  • If you have any suggestions or found any bugs please feel free to open a disccussion or open an issue

Requirements
  • Compatible OS:
OS Prebuilt binary As a module
Windows ✔️ ✔️
MacOS ❌ ✔️
Linux ❌ ✔️

* Python 3.8 or later (3.11 is recommended) for installation as module.

  • Speaker input only work on windows 8 and above.
  • Internet connection (for translation with API)
  • Recommended to have capable GPU with CUDA compatibility (prebuilt version is using CUDA 11.8) to run each model. Each whisper model has different requirements, for more information you can check it directly at the whisper repository.
Size Parameters English-only model Multilingual model Required VRAM Relative speed
tiny 39 M tiny.en tiny ~1 GB ~32x
base 74 M base.en base ~1 GB ~16x
small 244 M small.en small ~2 GB ~6x
medium 769 M medium.en medium ~5 GB ~2x
large 1550 M N/A large ~10 GB 1x

* This information is also available in the app (hover over the model selection in the app and there will be a tooltip about the model info). Also note that when using faster-whisper, the speed will be significantly faster and the required vram size will be reduced depending on the usage, for more information about this please visit faster-whisper repository

Contributors

zackees
Assets 9
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1.3.5 - Bug Fixes and Some Enhancement

28 Nov 10:04
@Dadangdut33 Dadangdut33
1.3.5
c2f51c3
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1.3.5 - Bug Fixes and Some Enhancement

What's Changed

  • Fixed theme bug in the subtitle window context menu #54
  • Fixed character limit in record #44
  • Fixed flickering results in record session
  • Fixed some menu interaction state
  • Changed the default file export format to folderize the export
  • Changed the model name in the model selection to add more information
  • Moved file export setting to its own tab in setting
  • Updated library/dependencies
  • Added character limit for file operation #44
  • Added metada on file operation
  • Added more export naming format
  • Added more options in tray app
  • Added more explaining error message when no internet connection present

Full Changelog: 1.3.4...1.3.5

Notes

  • Before downloading / installing please take a look at the wiki and read the getting started section.
  • If you previously installed speech translate as a module, you can update by doing pip install -U git+https://github.com/Dadangdut33/Speech-Translate.git --upgrade --force-reinstall
  • If you install from installer, you can download and launch the installer below to update
  • If you have any suggestions or found any bugs please feel free to open a disccussion or open an issue

Requirements
  • Compatible OS:
OS Prebuilt binary As a module
Windows ✔️ ✔️
MacOS ❌ ✔️
Linux ❌ ✔️

* Python 3.8 or later (3.11 is recommended) for installation as module.

  • Speaker input only work on windows 8 and above.
  • Internet connection (for translation with API)
  • FFmpeg is required to be installed and added to the PATH environment variable. You can do it when prompted in the app, or you can download it here and add it to your path manually. Alternatively, you can also download and add it to path automatically by using the following commands:
# on Windows using powershell (Also included in the release page, and can be run by right clicking and selecting "Run with PowerShell")
# Must be run in an elevated PowerShell prompt (Run as administrator)
Set-ExecutionPolicy RemoteSigned -Scope CurrentUser # Optional: Needed to run a remote script the first time
& ([scriptblock]::Create(
     (New-Object System.Net.WebClient).DownloadString('https://raw.githubusercontent.com/Dadangdut33/Speech-Translate/master/install_ffmpeg.ps1')
  )) -webdl

# on Windows using Winget (Default package manager for Windows 10 and above)
winget install --id=Gyan.FFmpeg  -e

# on Windows using Chocolatey (https://chocolatey.org/)
choco install ffmpeg

# on Windows using Scoop (https://scoop.sh/)
scoop install ffmpeg

# on Ubuntu or Debian
sudo apt update && sudo apt install ffmpeg

# on Arch Linux
sudo pacman -S ffmpeg

# on MacOS using Homebrew (https://brew.sh/)
brew install ffmpeg
  • Recommended to have capable GPU with CUDA compatibility (prebuilt version is using CUDA 11.8) to run each model. Each whisper model has different requirements, for more information you can check it directly at the whisper repository.
Size Parameters English-only model Multilingual model Required VRAM Relative speed
tiny 39 M tiny.en tiny ~1 GB ~32x
base 74 M base.en base ~1 GB ~16x
small 244 M small.en small ~2 GB ~6x
medium 769 M medium.en medium ~5 GB ~2x
large 1550 M N/A large ~10 GB 1x

* This information is also available in the app (hover over the model selection in the app and there will be a tooltip about the model info). Also note that when using faster-whisper, the speed will be significantly faster and the required vram size will be reduced depending on the usage, for more information about this please visit faster-whisper repository

Assets 9
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1.3.4 - Large v3 for faster whisper

14 Nov 08:00
@Dadangdut33 Dadangdut33
1.3.4
d331190
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1.3.4 - Large v3 for faster whisper

What's Changed

  • add large-v3 for faster whisper
  • can now cancel faster whisper model download
  • remove keys that does not work for mymemorytranslator
  • fix using demucs in file import
  • fix when using demucs and vad in recording
  • fix some widget disabled state

Full Changelog: 1.3.3...1.3.4

Notes

  • Before downloading / installing please take a look at the wiki and read the getting started section.
  • If you previously installed speech translate as a module, you can update by doing pip install -U git+https://github.com/Dadangdut33/Speech-Translate.git --upgrade --force-reinstall
  • If you install from installer, you can download and launch the installer below to update
  • If you have any suggestions or found any bugs please feel free to open a disccussion or open an issue

Requirements
  • Compatible OS:
OS Prebuilt binary As a module
Windows ✔️ ✔️
MacOS ❌ ✔️
Linux ❌ ✔️

* Python 3.8 or later (3.11 is recommended) for installation as module.

  • Speaker input only work on windows 8 and above.
  • Internet connection (for translation with API)
  • FFmpeg is required to be installed and added to the PATH environment variable. You can do it when prompted in the app, or you can download it here and add it to your path manually. Alternatively, you can also download and add it to path automatically by using the following commands:
# on Windows using powershell (Also included in the release page, and can be run by right clicking and selecting "Run with PowerShell")
# Must be run in an elevated PowerShell prompt (Run as administrator)
Set-ExecutionPolicy RemoteSigned -Scope CurrentUser # Optional: Needed to run a remote script the first time
& ([scriptblock]::Create(
     (New-Object System.Net.WebClient).DownloadString('https://raw.githubusercontent.com/Dadangdut33/Speech-Translate/master/install_ffmpeg.ps1')
  )) -webdl

# on Windows using Winget (Default package manager for Windows 10 and above)
winget install --id=Gyan.FFmpeg  -e

# on Windows using Chocolatey (https://chocolatey.org/)
choco install ffmpeg

# on Windows using Scoop (https://scoop.sh/)
scoop install ffmpeg

# on Ubuntu or Debian
sudo apt update && sudo apt install ffmpeg

# on Arch Linux
sudo pacman -S ffmpeg

# on MacOS using Homebrew (https://brew.sh/)
brew install ffmpeg
  • Recommended to have capable GPU with CUDA compatibility (prebuilt version is using CUDA 11.8) to run each model. Each whisper model has different requirements, for more information you can check it directly at the whisper repository.
Size Parameters English-only model Multilingual model Required VRAM Relative speed
tiny 39 M tiny.en tiny ~1 GB ~32x
base 74 M base.en base ~1 GB ~16x
small 244 M small.en small ~2 GB ~6x
medium 769 M medium.en medium ~5 GB ~2x
large 1550 M N/A large ~10 GB 1x

* This information is also available in the app (hover over the model selection in the app and there will be a tooltip about the model info). Also note that when using faster-whisper, the speed will be significantly faster and the required vram size will be reduced depending on the usage, for more information about this please visit faster-whisper repository

Assets 6
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1.3.3 - Bug Fix

11 Nov 09:43
@Dadangdut33 Dadangdut33
1.3.3
9ae1561
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1.3.3 - Bug Fix

Fix bug with the logger, language code, and loading whisper model.

What's Changed

Full Changelog: 1.3.2...1.3.3

Notes

  • Before downloading / installing please take a look at the wiki and read the getting started section.
  • If you previously installed speech translate as a module, you can update by doing pip install -U git+https://github.com/Dadangdut33/Speech-Translate.git --upgrade --force-reinstall
  • If you install from installer, you can download and launch the installer below to update
  • If you have any suggestions or found any bugs please feel free to open a disccussion or open an issue

Requirements
  • Compatible OS:
OS Prebuilt binary As a module
Windows ✔️ ✔️
MacOS ❌ ✔️
Linux ❌ ✔️

* Python 3.8 or later (3.11 is recommended) for installation as module.

  • Speaker input only work on windows 8 and above.
  • Internet connection (for translation with API)
  • FFmpeg is required to be installed and added to the PATH environment variable. You can do it when prompted in the app, or you can download it here and add it to your path manually. Alternatively, you can also download and add it to path automatically by using the following commands:
# on Windows using powershell (Also included in the release page, and can be run by right clicking and selecting "Run with PowerShell")
# Must be run in an elevated PowerShell prompt (Run as administrator)
Set-ExecutionPolicy RemoteSigned -Scope CurrentUser # Optional: Needed to run a remote script the first time
& ([scriptblock]::Create(
     (New-Object System.Net.WebClient).DownloadString('https://raw.githubusercontent.com/Dadangdut33/Speech-Translate/master/install_ffmpeg.ps1')
  )) -webdl

# on Windows using Winget (Default package manager for Windows 10 and above)
winget install --id=Gyan.FFmpeg  -e

# on Windows using Chocolatey (https://chocolatey.org/)
choco install ffmpeg

# on Windows using Scoop (https://scoop.sh/)
scoop install ffmpeg

# on Ubuntu or Debian
sudo apt update && sudo apt install ffmpeg

# on Arch Linux
sudo pacman -S ffmpeg

# on MacOS using Homebrew (https://brew.sh/)
brew install ffmpeg
  • Recommended to have capable GPU with CUDA compatibility (prebuilt version is using CUDA 11.8) to run each model. Each whisper model has different requirements, for more information you can check it directly at the whisper repository.
Size Parameters English-only model Multilingual model Required VRAM Relative speed
tiny 39 M tiny.en tiny ~1 GB ~32x
base 74 M base.en base ~1 GB ~16x
small 244 M small.en small ~2 GB ~6x
medium 769 M medium.en medium ~5 GB ~2x
large 1550 M N/A large ~10 GB 1x

* This information is also available in the app (hover over the model selection in the app and there will be a tooltip about the model info). Also note that when using faster-whisper, the speed will be significantly faster and the required vram size will be reduced depending on the usage, for more information about this please visit faster-whisper repository

Assets 7
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1.3.2 - Bug Fix

09 Nov 10:31
@Dadangdut33 Dadangdut33
1.3.2
f433eee
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1.3.2 - Bug Fix

Fix bug where the app wont start.

What's Changed

Full Changelog: 1.3.1...1.3.2

Notes

  • Before downloading / installing please take a look at the wiki and read the getting started section.
  • If you previously installed speech translate as a module, you can update by doing pip install -U git+https://github.com/Dadangdut33/Speech-Translate.git --upgrade --force-reinstall
  • If you install from installer, you can download and launch the installer below to update
  • If you have any suggestions or found any bugs please feel free to open a disccussion or open an issue

Requirements
  • Compatible OS:
OS Prebuilt binary As a module
Windows ✔️ ✔️
MacOS ❌ ✔️
Linux ❌ ✔️

* Python 3.8 or later (3.11 is recommended) for installation as module.

  • Speaker input only work on windows 8 and above.
  • Internet connection (for translation with API)
  • FFmpeg is required to be installed and added to the PATH environment variable. You can do it when prompted in the app, or you can download it here and add it to your path manually. Alternatively, you can also download and add it to path automatically by using the following commands:
# on Windows using powershell (Also included in the release page, and can be run by right clicking and selecting "Run with PowerShell")
# Must be run in an elevated PowerShell prompt (Run as administrator)
Set-ExecutionPolicy RemoteSigned -Scope CurrentUser # Optional: Needed to run a remote script the first time
& ([scriptblock]::Create(
     (New-Object System.Net.WebClient).DownloadString('https://raw.githubusercontent.com/Dadangdut33/Speech-Translate/master/install_ffmpeg.ps1')
  )) -webdl

# on Windows using Winget (Default package manager for Windows 10 and above)
winget install --id=Gyan.FFmpeg  -e

# on Windows using Chocolatey (https://chocolatey.org/)
choco install ffmpeg

# on Windows using Scoop (https://scoop.sh/)
scoop install ffmpeg

# on Ubuntu or Debian
sudo apt update && sudo apt install ffmpeg

# on Arch Linux
sudo pacman -S ffmpeg

# on MacOS using Homebrew (https://brew.sh/)
brew install ffmpeg
  • Recommended to have capable GPU with CUDA compatibility (prebuilt version is using CUDA 11.8) to run each model. Each whisper model has different requirements, for more information you can check it directly at the whisper repository.
Size Parameters English-only model Multilingual model Required VRAM Relative speed
tiny 39 M tiny.en tiny ~1 GB ~32x
base 74 M base.en base ~1 GB ~16x
small 244 M small.en small ~2 GB ~6x
medium 769 M medium.en medium ~5 GB ~2x
large 1550 M N/A large ~10 GB 1x

* This information is also available in the app (hover over the model selection in the app and there will be a tooltip about the model info). Also note that when using faster-whisper, the speed will be significantly faster and the required vram size will be reduced depending on the usage, for more information about this please visit faster-whisper repository

Contributors

Adi900696
Assets 7
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