Audio-Text-to-Text
Transformers
Safetensors
English
qwen3_omni_moe
text-to-audio
audio
speech
multimodal
reasoning
Instructions to use brgroup/BR-Voice-Reasoner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brgroup/BR-Voice-Reasoner with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("brgroup/BR-Voice-Reasoner") model = AutoModelForMultimodalLM.from_pretrained("brgroup/BR-Voice-Reasoner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload preprocessor_config.json
Browse files- preprocessor_config.json +30 -0
preprocessor_config.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dither": 0.0,
|
| 3 |
+
"feature_extractor_type": "WhisperFeatureExtractor",
|
| 4 |
+
"feature_size": 128,
|
| 5 |
+
"hop_length": 160,
|
| 6 |
+
"image_mean": [
|
| 7 |
+
0.5,
|
| 8 |
+
0.5,
|
| 9 |
+
0.5
|
| 10 |
+
],
|
| 11 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 12 |
+
"image_std": [
|
| 13 |
+
0.5,
|
| 14 |
+
0.5,
|
| 15 |
+
0.5
|
| 16 |
+
],
|
| 17 |
+
"max_pixels": 12845056,
|
| 18 |
+
"merge_size": 2,
|
| 19 |
+
"min_pixels": 3136,
|
| 20 |
+
"n_fft": 400,
|
| 21 |
+
"n_samples": 4800000,
|
| 22 |
+
"nb_max_frames": 30000,
|
| 23 |
+
"padding_side": "right",
|
| 24 |
+
"padding_value": 0.0,
|
| 25 |
+
"patch_size": 16,
|
| 26 |
+
"processor_class": "Qwen3OmniMoeProcessor",
|
| 27 |
+
"return_attention_mask": true,
|
| 28 |
+
"sampling_rate": 16000,
|
| 29 |
+
"temporal_patch_size": 2
|
| 30 |
+
}
|