Instructions to use RamiEbeid/hubert-base-ser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RamiEbeid/hubert-base-ser with Transformers:
# Load model directly from transformers import AutoProcessor, HubertForSpeechClassification processor = AutoProcessor.from_pretrained("RamiEbeid/hubert-base-ser") model = HubertForSpeechClassification.from_pretrained("RamiEbeid/hubert-base-ser", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 213 Bytes
990dfdc | 1 2 3 4 5 6 7 8 9 10 | {
"do_normalize": true,
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
"feature_size": 1,
"padding_side": "right",
"padding_value": 0,
"return_attention_mask": false,
"sampling_rate": 16000
}
|