Instructions to use MathRaaj/wav2vec-bert-ser-standard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MathRaaj/wav2vec-bert-ser-standard with Transformers:
# Load model directly from transformers import W2VBertSER model = W2VBertSER.from_pretrained("MathRaaj/wav2vec-bert-ser-standard", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "W2VBertSER" | |
| ], | |
| "dtype": "float32", | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1", | |
| "2": "LABEL_2", | |
| "3": "LABEL_3", | |
| "4": "LABEL_4", | |
| "5": "LABEL_5", | |
| "6": "LABEL_6" | |
| }, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1, | |
| "LABEL_2": 2, | |
| "LABEL_3": 3, | |
| "LABEL_4": 4, | |
| "LABEL_5": 5, | |
| "LABEL_6": 6 | |
| }, | |
| "model_type": "w2v-bert-ser", | |
| "transformers_version": "5.0.0", | |
| "use_cache": false | |
| } | |