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Docs: Fixed whisper-large-v2 model link in docs (#32871)

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Fixed whisper-large-v2 model link in docs.
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Sai-Suraj-27
2024-08-19 22:20:35 +05:30
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docs/source/en/pipeline_tutorial.md
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@@ -54,7 +54,7 @@ speech-to-text.
Not the result you had in mind? Check out some of the [most downloaded automatic speech recognition models](https://huggingface.co/models?pipeline_tag=automatic-speech-recognition&sort=trending) Not the result you had in mind? Check out some of the [most downloaded automatic speech recognition models](https://huggingface.co/models?pipeline_tag=automatic-speech-recognition&sort=trending)
on the Hub to see if you can get a better transcription. on the Hub to see if you can get a better transcription.
Let's try the [Whisper large-v2](https://huggingface.co/openai/whisper-large) model from OpenAI. Whisper was released Let's try the [Whisper large-v2](https://huggingface.co/openai/whisper-large-v2) model from OpenAI. Whisper was released
2 years later than Wav2Vec2, and was trained on close to 10x more data. As such, it beats Wav2Vec2 on most downstream 2 years later than Wav2Vec2, and was trained on close to 10x more data. As such, it beats Wav2Vec2 on most downstream
benchmarks. It also has the added benefit of predicting punctuation and casing, neither of which are possible with benchmarks. It also has the added benefit of predicting punctuation and casing, neither of which are possible with
Wav2Vec2. Wav2Vec2.