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owls_4B_180K_intermediates
espnet/owls_4B_180K_intermediates
owls_4B_180K_intermediates is a machine learning model from espnet. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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At a glance
- Access
- Public
- Created
- Mar 6, 2025
- Updated
- Sep 19, 2026
- SHA
- 9e843b74
Model card
From the Hugging Face model README
Usage
import librosa
from espnet2.bin.s2t_inference import Speech2Text
s2t = Speech2Text.from_pretrained(
model_tag="espnet/owls_4B_180K_intermediates", lang_sym="<eng>", task_sym="<asr>", beam_size=5
)
# OWSM is trained on 16 kHz; each call decodes 30 s, padded or trimmed
speech, rate = librosa.load("audio.wav", sr=16000, mono=True)
text, token, token_int, text_nospecial, hyp = s2t(speech)[0]
print(text_nospecial) # `text` keeps OWSM's own <eng><asr> markers
# for a recording longer than 30 s: s2t.decode_long(speech) -> (start, end, text)
- Created
- Mar 6, 2025
- Updated
- Sep 19, 2026