Instructions to use yipjiaqi/spgm-opt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yipjiaqi/spgm-opt with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yipjiaqi/spgm-opt", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| {"model_type": "spgm", "sample_rate": 8000, "config_name": "spgm-opt", "encoder_kernel_size": 16, "encoder_in_nchannels": 1, "encoder_out_nchannels": 256, "masknet_chunksize": 500, "masknet_numlayers": 16, "masknet_norm": "ln", "masknet_useextralinearlayer": false, "masknet_extraskipconnection": true, "masknet_numspks": 2, "intra_numlayers": 2, "intra_nhead": 8, "intra_dffn": 1024, "intra_dropout": 0, "intra_use_positional": true, "intra_norm_before": true, "spgm_block_pool": "att", "spgm_block_att_h": null, "spgm_block_att_dropout": 0} |