Instructions to use huseinzol05/conformer-super-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huseinzol05/conformer-super-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="huseinzol05/conformer-super-tiny", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("huseinzol05/conformer-super-tiny", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 600 Bytes
31e0842 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | {
"architectures": [
"ConformerEncoder"
],
"auto_map": {
"AutoConfig": "conformer.ConformerConfig",
"AutoModel": "conformer.ConformerEncoder"
},
"conformer_depthwise_conv_kernel_size": 31,
"conformer_dropout": 0.0,
"conformer_ffn_dim": 576,
"conformer_input_dim": 144,
"conformer_num_heads": 4,
"conformer_num_layers": 4,
"ctc_loss_reduction": "mean",
"ctc_zero_infinity": true,
"input_dim": 80,
"model_type": "conformer",
"output_dim": 40,
"pad_token_id": 39,
"time_reduction_stride": 4,
"torch_dtype": "float32",
"transformers_version": "4.35.2"
}
|