omniASR-W2V-1B

31
—
by
aadel4
Embedding Model
OTHER
1B params
New
31 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
3GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
1GB+ RAM

Code Examples

Usagepythontransformers
from transformers import Wav2Vec2Model, Wav2Vec2FeatureExtractor
import torch, torchaudio

extractor = Wav2Vec2FeatureExtractor.from_pretrained("aadel4/omniASR-W2V-1B")
model     = Wav2Vec2Model.from_pretrained("aadel4/omniASR-W2V-1B")
model.eval()

waveform, sr = torchaudio.load("audio.wav")
if sr != 16_000:
    waveform = torchaudio.functional.resample(waveform, sr, 16_000)

inputs = extractor(
    waveform.squeeze().numpy(), sampling_rate=16_000,
    return_tensors="pt", padding=True
)
with torch.no_grad():
    embeddings = model(**inputs).last_hidden_state  # (1, T, 1280)

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