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UVOX 95k Llama 3.2 1B Instruct

Test ultravox model. More coming soon... I hope so.

TipoOtherVersãoRevision 779afa1Cnota

Fonte do modelo

Tipo
Other
Tamanho do arquivo
88,0 MB
Versão
vRevision 779afa1
Atualizado
25 de out. de 2026
Downloads
28
Fonte
Hugging Face

Descrição da fonte

Test ultravox model. More coming soon... I hope so.

import transformers
import numpy as np
import librosa

pipe = transformers.pipeline(model='AtAndDev/UVOX-95k-Llama-3.2-1B-Instruct', trust_remote_code=True, device="cuda")

path = "voice_input.mp3"
audio, sr = librosa.load(path, sr=16000)

turns = []
pipe({'audio': audio, 'turns': turns, 'sampling_rate': sr}, max_new_tokens=100)

Fontes

1 fonte
Hugging FacePrimárioVersão 779afa17b992d190155457308975d91705993ea2
huggingface.co/AtAndDev/UVOX-95k-Llama-3.2-1B-Instruct/tree/779afa17b992d190155457308975d91705993ea2

Verificado 25 de out.

Artefatos de modelo

1 artefato

model.safetensors

safetensors · 88,0 MB · SHA-256 fe7758470cbf…988d · Hugging Face

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Trechos de fonte

3 trechos

--- language: - ar - be - bg - bn - cs - cy - da - de - el - en - es - et - fa - fi - fr - gl - hi - hu - it - ja - ka - lt - lv - mk - mr - nl - pl - pt - ro - ru - sk - sl - sr - sv - sw - ta - th - tr - uk - ur - vi - zh library_name: transformers license: mit metrics: - bleu pipeline_tag: audio-text-to-text --- Test ultravox model. More coming soon... I hope so. ```python import transformers import numpy as np import librosa pipe = transformers.pipeline(model='AtAndDev/UVOX-95k-Llama-3.2-1B-Instruct', trust_remote_code=True, device="cuda") path = "voice_input.mp3" audio, sr = librosa.load(path, sr=16000) turns = [] pipe({'audio': audio, 'turns': turns, 'sampling_rate': sr}, max_new_tokens=100) ```

Source context: 28 downloads · 0 likes · Pipeline audio-text-to-text · Library transformers · Repo AtAndDev/UVOX-95k-Llama-3.2-1B-Instruct

Source context: 10 downloads · 0 likes · Pipeline audio-text-to-text · Library transformers · Repo AtAndDev/UVOX-95k-Llama-3.2-1B-Instruct