Instructions to use espnet/OpenBEATS-Large-AudioCaptioner-AudioCaps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/OpenBEATS-Large-AudioCaptioner-AudioCaps with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "espnet/OpenBEATS-Large-AudioCaptioner-AudioCaps" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
File size: 422 Bytes
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files:
asr_model_file: /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/audiocaps_aac/asr_earlargei2.l19/valid.acc.ave_5best.pth
python: "3.9.18 | packaged by conda-forge | (main, Dec 23 2023, 17:20:25) \n[GCC 12.3.0]"
timestamp: 1763334080.358429
torch: 2.1.2
yaml_files:
asr_train_config: /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/audiocaps_aac/asr_earlargei2.l19/config.yaml
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