Instructions to use VoiceScribe/gigaam-v3-e2e-rnnt-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use VoiceScribe/gigaam-v3-e2e-rnnt-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gigaam-v3-e2e-rnnt-mlx VoiceScribe/gigaam-v3-e2e-rnnt-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
File size: 663 Bytes
c470b3f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | {
"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
}
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