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:
- e65c3035b54099d9aa30009cb86b41ec8bcbe9a154c84953d5f7ad178021401e
- Size of remote file:
- 3.64 kB
- SHA256:
- 53d01eca749f02eb17c9fbe13af7b61dffa56633e32692a837c92f3890f48206
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