Instructions to use mitkox/google-jefferson with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mitkox/google-jefferson with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mitkox/google-jefferson", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "JeffersonConformerEncoderModel" | |
| ], | |
| "conformer_depthwise_conv_kernel_size": 32, | |
| "conformer_features": 512, | |
| "conformer_max_length": 10000, | |
| "conformer_mlp_factor": 4, | |
| "conformer_num_heads": 8, | |
| "conformer_num_layers": 17, | |
| "dtype": "float32", | |
| "model_type": "jefferson_conformer", | |
| "num_mel_bins": 128, | |
| "pad_token_id": 0, | |
| "subsampler_conv_kernel_size": 5, | |
| "subsampler_hidden_dim": 512, | |
| "transformers_version": "4.56.2", | |
| "vocab_size": 512 | |
| } | |