Wav2vec2 Large Xlsr 53 English
The wav2vec2-large-xlsr-53-english model has numerous potential use cases in the field of automatic speech recognition. One possible application is in transcription services, where the model can accurately convert spoken language into written text, enabling efficient and accurate transcription of audio content. This can be beneficial for industries such as journalism, market research, and legal documentation. Another potential use case is in voice assistants, where the model can understand and transcribe user commands and queries, enabling more natural and intuitive interactions with virtual assistants. Additionally, the model can be used in voice command recognition systems, where it can accurately interpret and execute spoken commands in various contexts, such as in home automation or automotive systems. Overall, the wav2vec2-large-xlsr-53-english model has the potential to improve the accuracy and efficiency of speech recognition in a wide range of applications.
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- Avg run time
|Whisper Small Pt Cv11 V4_2||$?||6|
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Summary of this model and related resources.
|Model Name||Wav2vec2 Large Xlsr 53 English|
Platform did not provide a description for this model.
|Model Link||View on HuggingFace|
|API Spec||View on HuggingFace|
|Github Link||No Github link provided|
|Paper Link||No paper link provided|
How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?
How much does it cost to run this model? How long, on average, does it take to complete a run?
|Cost per Run||$-|
|Average Completion Time||-|