Instructions to use GetmanY1/wav2vec2-base-FS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GetmanY1/wav2vec2-base-FS with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("GetmanY1/wav2vec2-base-FS") model = AutoModelForMultimodalLM.from_pretrained("GetmanY1/wav2vec2-base-FS") - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_normalize": false, | |
| "feature_extractor_type": "Wav2Vec2FeatureExtractor", | |
| "feature_size": 1, | |
| "padding_side": "right", | |
| "padding_value": 0, | |
| "processor_class": "Wav2Vec2Processor", | |
| "return_attention_mask": false, | |
| "sampling_rate": 16000 | |
| } | |