Instructions to use chaanks/wav2vec2-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chaanks/wav2vec2-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="chaanks/wav2vec2-small")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("chaanks/wav2vec2-small") model = AutoModel.from_pretrained("chaanks/wav2vec2-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 171 Bytes
c8c8c4c | 1 2 3 4 5 6 7 8 | {
"do_normalize": false,
"feature_size": 1,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": false,
"sampling_rate": 16000
} |