Instructions to use alefiury/wav2vec2-large-xlsr-53-gender-recognition-librispeech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alefiury/wav2vec2-large-xlsr-53-gender-recognition-librispeech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="alefiury/wav2vec2-large-xlsr-53-gender-recognition-librispeech", device_map="auto")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("alefiury/wav2vec2-large-xlsr-53-gender-recognition-librispeech") model = AutoModelForAudioClassification.from_pretrained("alefiury/wav2vec2-large-xlsr-53-gender-recognition-librispeech", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88f27d2e9e6ce2f8998c1456e2f73844136a4cdc74df8066650c04e9f807dd58
- Size of remote file:
- 1.26 GB
- SHA256:
- be185e3759a73940ef58184c1eac0ae68cbf97628004aa36e9ed3aaa400e91bf
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