Automatic Speech Recognition
MLX
Safetensors
Persian
omnilingual_asr_ctc
omnilingual-asr
ctc
farsi
persian
8-bit precision
Instructions to use codeclawd/persian-ctc-300m-mlx-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use codeclawd/persian-ctc-300m-mlx-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download codeclawd/persian-ctc-300m-mlx-8bit --local-dir persian-ctc-300m-mlx-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.model from codeclawd/persian-ctc-300m-mlx-8bit: direct link, hf CLI and curl.
- Browser
- Download file 91.5 kB
-
https://huggingface.co/codeclawd/persian-ctc-300m-mlx-8bit/resolve/main/tokenizer.model
- Command line
-
hf download hf://codeclawd/persian-ctc-300m-mlx-8bit/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/codeclawd/persian-ctc-300m-mlx-8bit/resolve/main/tokenizer.model
91.5 kB
- Xet hash:
- 53988d3ceec1eefff934a1f27d2b5055ae3fe9e978960678876e9764b297399e
- Size of remote file:
- 91.5 kB
- SHA256:
- 8aa11a1092142ef472537476ef6e76541123e2f0d789b79f3ebd119008240b1e
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