Instructions to use LeBenchmark/wav2vec2-FR-14K-light with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LeBenchmark/wav2vec2-FR-14K-light with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LeBenchmark/wav2vec2-FR-14K-light")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("LeBenchmark/wav2vec2-FR-14K-light") model = AutoModel.from_pretrained("LeBenchmark/wav2vec2-FR-14K-light", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 158 Bytes
1fac63b | 1 2 3 4 5 6 7 8 9 | {
"do_normalize": true,
"feature_size": 1,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": true,
"sampling_rate": 16000
}
|