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@@ -54,7 +54,6 @@ model-index:
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  value: 0.169
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  name: TEST Jaccard Error Rate
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  verified: False
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-
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  ---
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  # bert-base-token-classification-for-atc-en-uwb-atcc
@@ -118,13 +117,6 @@ See Table 3 (page 5) in our paper:[BERTraffic: BERT-based Joint Speaker Role and
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  ## Writing your own inference script
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- If you use language model, you need to install the KenLM bindings with:
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-
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- ```bash
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- conda activate your_environment
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- pip install https://github.com/kpu/kenlm/archive/master.zip
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- ```
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-
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  The snippet of code:
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  ```python
 
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  value: 0.169
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  name: TEST Jaccard Error Rate
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  verified: False
 
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  ---
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  # bert-base-token-classification-for-atc-en-uwb-atcc
 
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  ## Writing your own inference script
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  The snippet of code:
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  ```python