Instructions to use aadel4/omniASR-CTC-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aadel4/omniASR-CTC-1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aadel4/omniASR-CTC-1B")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("aadel4/omniASR-CTC-1B") model = AutoModelForCTC.from_pretrained("aadel4/omniASR-CTC-1B") - Notebooks
- Google Colab
- Kaggle
File size: 187 Bytes
44b93e0 | 1 2 3 4 5 6 7 8 | {
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
"feature_size": 1,
"sampling_rate": 16000,
"padding_value": 0.0,
"do_normalize": true,
"return_attention_mask": false
} |