Instructions to use Benjaminpwh/sst-en_de_15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Benjaminpwh/sst-en_de_15 with Transformers:
# Load model directly from transformers import AutoProcessor, Wav2Vec2_Qwen processor = AutoProcessor.from_pretrained("Benjaminpwh/sst-en_de_15") model = Wav2Vec2_Qwen.from_pretrained("Benjaminpwh/sst-en_de_15") - Notebooks
- Google Colab
- Kaggle
File size: 256 Bytes
98c5040 | 1 2 3 4 5 6 7 8 9 10 11 | {
"do_normalize": true,
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
"feature_size": 1,
"padding_side": "right",
"padding_value": 0.0,
"processor_class": "Wav2Vec2Processor",
"return_attention_mask": true,
"sampling_rate": 16000
}
|