Instructions to use kming/unispeech-sat-base-plus-sv-finetuned-ami-ten-percent-train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kming/unispeech-sat-base-plus-sv-finetuned-ami-ten-percent-train with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioXVector processor = AutoProcessor.from_pretrained("kming/unispeech-sat-base-plus-sv-finetuned-ami-ten-percent-train") model = AutoModelForAudioXVector.from_pretrained("kming/unispeech-sat-base-plus-sv-finetuned-ami-ten-percent-train") - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_normalize": true, | |
| "feature_extractor_type": "Wav2Vec2FeatureExtractor", | |
| "feature_size": 1, | |
| "padding_side": "right", | |
| "padding_value": 0, | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000 | |
| } | |