Instructions to use espnet/owls_9B_180K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/owls_9B_180K with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "espnet/owls_9B_180K" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
data/token_list/bpe_unigram50000/bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:5d6327da127e870bcb8c737dceb3bd47ccbce63da74ddb094f64afe313d68c8c
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size 1041297
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data/token_list/bpe_unigram50000/tokens.txt
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