Automatic Speech Recognition
MLX
Russian
English
gigaam
apple-silicon
russian
conformer
ctc
Eval Results (legacy)
Instructions to use aystream/GigaAM-v3-e2e-ctc-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use aystream/GigaAM-v3-e2e-ctc-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir GigaAM-v3-e2e-ctc-mlx aystream/GigaAM-v3-e2e-ctc-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
| { | |
| "model_type": "gigaam", | |
| "model_variant": "v3_e2e_ctc", | |
| "framework": "mlx", | |
| "encoder": { | |
| "feat_in": 64, | |
| "n_layers": 16, | |
| "d_model": 768, | |
| "n_heads": 16, | |
| "ff_expansion_factor": 4, | |
| "conv_kernel_size": 5, | |
| "subs_kernel_size": 5, | |
| "subsampling": "conv1d", | |
| "subsampling_factor": 4, | |
| "self_attention_model": "rotary", | |
| "rope_base": 5000 | |
| }, | |
| "head": { | |
| "type": "ctc", | |
| "num_classes": 257 | |
| }, | |
| "preprocessor": { | |
| "sample_rate": 16000, | |
| "n_mels": 64, | |
| "hop_length": 160, | |
| "win_length": 320, | |
| "n_fft": 320, | |
| "center": false | |
| }, | |
| "tokenizer": "tokenizer.model", | |
| "total_parameters": 220879361 | |
| } | |