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@@ -23,17 +23,11 @@ Russian ASR model GigaAM-v2-CTC.
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  ## Model info
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  This is an original GigaAM-v2-CTC with `transformers` library interface.
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- File [`gigaam_transformers.py`](https://huggingface.co/waveletdeboshir/gigaam-ctc/blob/main/gigaam_transformers.py) contains model, feature extractor and tokenizer classes with usual transformers methods.
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  <!-- Jupyter `GigaAMHFTrain.ipynb` contains training pipeline with `transformers`. -->
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  ## Installation
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- Install `GigaAM`:
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- ```sh
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- git clone https://github.com/salute-developers/GigaAM.git
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- cd GigaAM
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- pip install -e .
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- ```
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  my lib versions:
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  * `torch` 2.5.1
 
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  ## Model info
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  This is an original GigaAM-v2-CTC with `transformers` library interface.
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+ File [`gigaam_transformers.py`](https://huggingface.co/waveletdeboshir/gigaam-ctc/blob/main/gigaam_transformers.py) contains model, feature extractor and tokenizer classes with usual transformers methods. Model can be initialized with transformers auto classes (see an example below).
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  <!-- Jupyter `GigaAMHFTrain.ipynb` contains training pipeline with `transformers`. -->
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  ## Installation
 
 
 
 
 
 
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  my lib versions:
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  * `torch` 2.5.1