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
| { | |
| "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" | |
| } | |