Instructions to use dangkhoadl/ConformerASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dangkhoadl/ConformerASR with Transformers:
# Load model directly from transformers import ConformerForASR model = ConformerForASR.from_pretrained("dangkhoadl/ConformerASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 500 Bytes
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"architectures": [
"ConformerForASR"
],
"attention_dropout_p": 0.1,
"conv_dropout_p": 0.1,
"conv_expansion_factor": 2,
"conv_kernel_size": 31,
"encoder_dim": 32,
"feed_forward_dropout_p": 0.1,
"feed_forward_expansion_factor": 4,
"half_step_residual": true,
"input_dim": 80,
"input_dropout_p": 0.1,
"model_type": "conformer",
"num_attention_heads": 8,
"num_classes": 1024,
"num_encoder_layers": 4,
"torch_dtype": "float32",
"transformers_version": "4.30.2"
}
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