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feat: add link to Premium form

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  1. README.md +2 -2
README.md CHANGED
@@ -11,7 +11,7 @@ pinned: false
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  Pretrained pipelines reach state-of-the-art performance on most academic benchmarks and are used [in production by dozens of companies](https://herve.niderb.fr/consulting.html).
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- | Benchmark | v1.1 | [v2.1](https://hf.co/pyannote/speaker-diarization-2.1) | [v3.1](https://hf.co/pyannote/speaker-diarization-3.1) | <a href="mailto:herve-at-niderb-dot-fr?subject=Premium pyannote.audio pipeline&body=Looks like I got your attention! Drop me an email for more details. Hervé.">Premium</a> |
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  | ---------------------- | ---- | ------ | ------ | --------- |
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  | AISHELL-4 | - | 14.1 | 12.2 | 11.9 |
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  | AliMeeting (channel 1) | - | 27.4 | 24.4 | 22.5 |
@@ -27,4 +27,4 @@ Pretrained pipelines reach state-of-the-art performance on most academic benchma
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  Using one Nvidia Tesla V100 SXM2 GPU and one Intel Cascade Lake 6248 CPU,
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  * [v2.1](https://hf.co/pyannote/speaker-diarization-2.1) takes around 1m30s to process 1h of audio
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  * [v3.1](https://hf.co/pyannote/speaker-diarization-3.1) takes around 1m20s to process 1h of audio
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- * <a href="mailto:herve-at-niderb-dot-fr?subject=Premium pyannote.audio pipeline&body=Looks like I got your attention! Drop me an email for more details. Hervé.">Premium</a> takes less than 1m00s to process 1h of audio
 
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  Pretrained pipelines reach state-of-the-art performance on most academic benchmarks and are used [in production by dozens of companies](https://herve.niderb.fr/consulting.html).
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+ | Benchmark | v1.1 | [v2.1](https://hf.co/pyannote/speaker-diarization-2.1) | [v3.1](https://hf.co/pyannote/speaker-diarization-3.1) | [Premium](https://forms.gle/eKhn7H2zTa68sMMx8) |
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  | ---------------------- | ---- | ------ | ------ | --------- |
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  | AISHELL-4 | - | 14.1 | 12.2 | 11.9 |
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  | AliMeeting (channel 1) | - | 27.4 | 24.4 | 22.5 |
 
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  Using one Nvidia Tesla V100 SXM2 GPU and one Intel Cascade Lake 6248 CPU,
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  * [v2.1](https://hf.co/pyannote/speaker-diarization-2.1) takes around 1m30s to process 1h of audio
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  * [v3.1](https://hf.co/pyannote/speaker-diarization-3.1) takes around 1m20s to process 1h of audio
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+ * [Premium](https://forms.gle/eKhn7H2zTa68sMMx8) takes less than 1m00s to process 1h of audio