Instructions to use facebook/wav2vec2-large-xlsr-53 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-large-xlsr-53 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("facebook/wav2vec2-large-xlsr-53") model = AutoModelForPreTraining.from_pretrained("facebook/wav2vec2-large-xlsr-53", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from facebook/wav2vec2-large-xlsr-53: direct link, hf CLI and curl.
- Browser
- Download file 1.27 GB
-
https://huggingface.co/facebook/wav2vec2-large-xlsr-53/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://facebook/wav2vec2-large-xlsr-53/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/facebook/wav2vec2-large-xlsr-53/resolve/main/pytorch_model.bin
1.27 GB
- Xet hash:
- 152ae5580ef8f8b1c8326fad7a8690240cd3ec7c81d730313f1d188964d403f5
- Size of remote file:
- 1.27 GB
- SHA256:
- 314340227371a608f71adcd5f0de5933824fe77e55822aa4b24dba9c1c364dcb
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