Instructions to use NbAiLab/wav2vec2-xlsr-300m-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/wav2vec2-xlsr-300m-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLab/wav2vec2-xlsr-300m-test")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("NbAiLab/wav2vec2-xlsr-300m-test") model = AutoModelForCTC.from_pretrained("NbAiLab/wav2vec2-xlsr-300m-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ee0195c17a392b6fafe063687a9850480a2eb5504bc25047a780adb51fdd240
- Size of remote file:
- 2.99 kB
- SHA256:
- 86c68f206ccae000649364bdc3a7bb58180f1cfb88e63f472540ae6dc6549c47
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