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
File size: 463 Bytes
77b12cc | 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 26 27 28 | {
"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
}
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