| from transformers import PretrainedConfig | |
| class WaveformerConfig(PretrainedConfig): | |
| model_type = "waveformer" | |
| def __init__(self, | |
| vocab_size=50257, | |
| d_model=1024, | |
| n_layers=12, | |
| max_seq_len=32768, | |
| **kwargs): | |
| super().__init__(**kwargs) | |
| self.vocab_size = vocab_size | |
| self.d_model = d_model | |
| self.n_layers = n_layers | |
| self.max_seq_len = max_seq_len | |