Instructions to use speechbrain/asr-wav2vec2-transformer-aishell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- speechbrain
How to use speechbrain/asr-wav2vec2-transformer-aishell with speechbrain:
from speechbrain.pretrained import EncoderDecoderASR model = EncoderDecoderASR.from_hparams( "speechbrain/asr-wav2vec2-transformer-aishell" ) model.transcribe_file("file.wav") - Notebooks
- Google Colab
- Kaggle
Download model.ckpt from speechbrain/asr-wav2vec2-transformer-aishell: direct link, hf CLI and curl.
- Browser
- Download file 67.5 MB
-
https://huggingface.co/speechbrain/asr-wav2vec2-transformer-aishell/resolve/main/model.ckpt
- Command line
-
hf download hf://speechbrain/asr-wav2vec2-transformer-aishell/model.ckpt
-
curl -L -o model.ckpt https://huggingface.co/speechbrain/asr-wav2vec2-transformer-aishell/resolve/main/model.ckpt
67.5 MB
- Xet hash:
- 61346a5d66f45dcd8c8d541ca720a532762c195db0941ff80d4e7ce4789035d5
- Size of remote file:
- 67.5 MB
- SHA256:
- 3edcc685cc45c2775ff90eaad6631e8db3f7de2154e479818a86d3559a6b7bee
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