Instructions to use mclemcrew/Qwen2-Audio-MixAssist-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mclemcrew/Qwen2-Audio-MixAssist-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-Audio-7B-Instruct") model = PeftModel.from_pretrained(base_model, "mclemcrew/Qwen2-Audio-MixAssist-LoRA") - Notebooks
- Google Colab
- Kaggle
File size: 342 Bytes
fe1acc1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"chunk_length": 30,
"feature_extractor_type": "WhisperFeatureExtractor",
"feature_size": 128,
"hop_length": 160,
"n_fft": 400,
"n_samples": 480000,
"nb_max_frames": 3000,
"padding_side": "right",
"padding_value": 0.0,
"processor_class": "Qwen2AudioProcessor",
"return_attention_mask": true,
"sampling_rate": 16000
}
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