Instructions to use mispeech/r1-aqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mispeech/r1-aqa with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("mispeech/r1-aqa") model = AutoModelForMultimodalLM.from_pretrained("mispeech/r1-aqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from mispeech/r1-aqa: direct link, hf CLI and curl.
- Browser
- Download file 153 Bytes
-
https://huggingface.co/mispeech/r1-aqa/resolve/refs%2Fpr%2F3/processor_config.json
- Command line
-
hf download hf://mispeech/r1-aqa@refs/pr/3/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/mispeech/r1-aqa/resolve/refs%2Fpr%2F3/processor_config.json
153 Bytes
| { | |
| "audio_bos_token": "<|audio_bos|>", | |
| "audio_eos_token": "<|audio_eos|>", | |
| "audio_token": "<|AUDIO|>", | |
| "processor_class": "Qwen2AudioProcessor" | |
| } | |