Instructions to use dangkhoadl/custom_CNN_1D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dangkhoadl/custom_CNN_1D with Transformers:
# Load model directly from transformers import CNN1DForAudioClassification model = CNN1DForAudioClassification.from_pretrained("dangkhoadl/custom_CNN_1D", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "T_pad_len": 2400, | |
| "architectures": [ | |
| "CNN1DForAudioClassification" | |
| ], | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1", | |
| "2": "LABEL_2", | |
| "3": "LABEL_3" | |
| }, | |
| "input_dim": 50, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1, | |
| "LABEL_2": 2, | |
| "LABEL_3": 3 | |
| }, | |
| "model_type": "cnn", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.30.2" | |
| } | |