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README.md
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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
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