Aller au contenu
ModelPrésentéExterne
Télécharger

UVOX 40k Llama 32 3B Instruct

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

TypeOtherVersionModelCClasse

Source du modèle

Type
Other
Taille du fichier
94,5 MB
Version
vModel
Mis à jour
23 oct. 2026
Source
Hugging Face

Description de la source

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

import transformers
import numpy as np
import librosa

pipe = transformers.pipeline(model='AtAndDev/UVOX-40k-Llama-3.2-3B-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)

Sources

1 source
Hugging FacePrincipalVersion 56b86afc18552277ee4f0f303c2bcf4b095680b4
huggingface.co/AtAndDev/UVOX-40k-Llama-32-3B-Instruct/tree/56b86afc18552277ee4f0f303c2bcf4b095680b4

Vérifié 7 août

Artefacts du modèle

1 artefact

model.safetensors

safetensors · 94,5 MB · SHA-256 93a5077832a5…055d · Hugging Face

Télécharger

Extraits de sources

2 extraits

--- 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-40k-Llama-3.2-3B-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: 5 downloads · 0 likes · Pipeline audio-text-to-text · Library transformers · Repo AtAndDev/UVOX-40k-Llama-32-3B-Instruct