![]() Below are the names of the available models and their approximate memory requirements and inference speed relative to the large model actual speed may vary depending on many factors including the available hardware. There are five model sizes, four with English-only versions, offering speed and accuracy tradeoffs. If the installation fails with No module named 'setuptools_rust', you need to install setuptools_rust, e.g. Additionally, you may need to configure the PATH environment variable, e.g. If you see installation errors during the pip install command above, please follow the Getting started page to install Rust development environment. You may need rust installed as well, in case tiktoken does not provide a pre-built wheel for your platform. ![]() Sudo apt update & sudo apt install ffmpeg It also requires the command-line tool ffmpeg to be installed on your system, which is available from most package managers: # on Ubuntu or Debian To update the package to the latest version of this repository, please run: pip install -upgrade -no-deps -force-reinstall git+ You can download and install (or update to) the latest release of Whisper with the following command: pip install -U openai-whisperĪlternatively, the following command will pull and install the latest commit from this repository, along with its Python dependencies: pip install git+ The codebase also depends on a few Python packages, most notably OpenAI's tiktoken for their fast tokenizer implementation. ![]() We used Python 3.9.9 and PyTorch 1.10.1 to train and test our models, but the codebase is expected to be compatible with Python 3.8-3.11 and recent PyTorch versions. The multitask training format uses a set of special tokens that serve as task specifiers or classification targets. These tasks are jointly represented as a sequence of tokens to be predicted by the decoder, allowing a single model to replace many stages of a traditional speech-processing pipeline. ApproachĪ Transformer sequence-to-sequence model is trained on various speech processing tasks, including multilingual speech recognition, speech translation, spoken language identification, and voice activity detection. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification. Old and new values of modifications are listed side by side for a comparision.Īll logged activity can be exported into comma separated text files for further processing in a spreadsheet or to be archived.Whisper is a general-purpose speech recognition model. You are able to build powerful exceptions like *.TMP, WRD?.DOC, *(?)*.TXT etcĪttribute Changer keeps track of modified and failed files and folders during processing.īy default, Attribute Changer displays failed actions in the Reporting tab, but a more detailed view can be activated at any time to display a complete view of all activities in realtime, such as successful and failed changes. Name filters are useful to exclude/include files and folders based on wildcard characters (* and ?). Ranges can be defined for date, time and size related criteria. Powerful filters can be applied to include or exclude objects based on attributes, date, time, size and name wildcards. Redate folder with newest or oldest folder.Redate folder with newest or oldest file.Partial updates (for example only day or minute etc.).Modify or add photo date and time (EXIF).Add/Subtract values on day, month and year.Add/Subtract values on hour, minute and second. ![]() On photos, date and time information stored in the EXIF header can be easily altered or even added if missing.Ĭhoose among a set of powerful features to resolve issues about date and time modifications. Powerful options are available to manipulate date and time stamps on files and folders. Files and folders can be hidden under normal conditions if the Hidden attribute is set.įor better readibility, Attribute Changer can be used to Capitalize, Uppercase or Lowercase filenames, foldernames and extensions. Much more powerful options include simulation, batch processing, randomization, synchronization among others.įor example, you can make a file Read-Only to prevent software programs from saving changes to a file. Filesystem attributes can be changed and you can uppercase, lowercase or capitalize names. Attribute Changer can modify date and time on files, folders and photos.
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