Instructions to use kcz358/aero-realtime-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kcz358/aero-realtime-4B with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("kcz358/aero-realtime-4B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "audio_end_token": "<|audio_end|>", | |
| "audio_length_per_tok": 8, | |
| "audio_start_token": "<|audio_start|>", | |
| "audio_token": "<|audio_pad|>", | |
| "chunk_audio": true, | |
| "downsample_factor": 4, | |
| "feature_extractor": { | |
| "feature_extractor_type": "VoxtralRealtimeFeatureExtractor", | |
| "feature_size": 128, | |
| "global_log_mel_max": 1.5, | |
| "hop_length": 160, | |
| "n_fft": 400, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000, | |
| "win_length": 400 | |
| }, | |
| "image_processor": { | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "Qwen2VLImageProcessor", | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "max_pixels": 360448, | |
| "merge_size": 2, | |
| "min_pixels": 28800, | |
| "patch_size": 16, | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "longest_edge": 360448, | |
| "shortest_edge": 28800 | |
| }, | |
| "temporal_patch_size": 2 | |
| }, | |
| "image_token": "<|image_pad|>", | |
| "processor_class": "AeroRealtimeProcessor", | |
| "rt_end_token": "<|rt_end|>", | |
| "rt_pad_token": "<|rt_pad|>", | |
| "rt_speak_token": "<|rt_speak|>", | |
| "rt_start_token": "<|rt_start|>", | |
| "video_processor": { | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "do_sample_frames": true, | |
| "fps": 2, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "max_frames": 768, | |
| "max_pixels": 360448, | |
| "merge_size": 2, | |
| "min_frames": 4, | |
| "min_pixels": 28800, | |
| "patch_size": 16, | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "return_metadata": false, | |
| "size": { | |
| "longest_edge": 25165824, | |
| "shortest_edge": 4096 | |
| }, | |
| "temporal_patch_size": 2, | |
| "video_processor_type": "Qwen3VLVideoProcessor" | |
| }, | |
| "video_token": "<|video_pad|>", | |
| "vision_end_token": "<|vision_end|>", | |
| "vision_start_token": "<|vision_start|>" | |
| } | |