Instructions to use sil-ai/ikk-chapter-audio-dataset-force-aligned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sil-ai/ikk-chapter-audio-dataset-force-aligned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sil-ai/ikk-chapter-audio-dataset-force-aligned")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("sil-ai/ikk-chapter-audio-dataset-force-aligned") model = AutoModelForCTC.from_pretrained("sil-ai/ikk-chapter-audio-dataset-force-aligned") - Notebooks
- Google Colab
- Kaggle
File size: 275 Bytes
1a81a8e | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"feature_extractor_type": "SeamlessM4TFeatureExtractor",
"feature_size": 80,
"num_mel_bins": 80,
"padding_side": "right",
"padding_value": 1,
"processor_class": "Wav2Vec2BertProcessor",
"return_attention_mask": true,
"sampling_rate": 16000,
"stride": 2
}
|