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@@ -144,8 +144,8 @@ The following table shows these two metrics for each decoder:
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  | Benchmark | Decoding | WER (%) ↓ | CER (%) ↓ |
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  |---------------|----------|-----------------|-----------------|
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  | Bam ASR Early | CTC | 40.56 | 22.01 |
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- | Nyana Eval | CTC | **40.75** | **24.70** |
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- | Bam ASR Early | TDT | **36.58** | **21.41** |
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  | Nyana Eval | TDT | 47.10 | 31.27 |
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  These are greedy WER numbers without external LM. By default the main decoder branch is the TDT branch, if you would like to switch to the CTC decoder simply run this block of code before calling the .transcribe method
@@ -164,4 +164,4 @@ This model is released under the **CC-BY-4.0** license. By using this model, you
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  ---
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- Feel free to open a discussion on Hugging Face or [file an issue](https://github.com/RobotsMali-AI/bambara-asr/issues) on github if you have any contributions
 
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  | Benchmark | Decoding | WER (%) ↓ | CER (%) ↓ |
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  |---------------|----------|-----------------|-----------------|
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  | Bam ASR Early | CTC | 40.56 | 22.01 |
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+ | Nyana Eval | CTC | 40.75 | 24.70 |
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+ | Bam ASR Early | TDT | 36.58 | 21.41 |
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  | Nyana Eval | TDT | 47.10 | 31.27 |
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  These are greedy WER numbers without external LM. By default the main decoder branch is the TDT branch, if you would like to switch to the CTC decoder simply run this block of code before calling the .transcribe method
 
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  ---
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+ Feel free to open a discussion on Hugging Face or [file an issue](https://github.com/RobotsMali-AI/bambara-asr/issues) on GitHub for help or contributions.