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 tokenizer_config.json from mispeech/r1-aqa: direct link, hf CLI and curl.
- Browser
- Download file 638 kB
-
https://huggingface.co/mispeech/r1-aqa/resolve/refs%2Fpr%2F13/tokenizer_config.json
- Command line
-
hf download hf://mispeech/r1-aqa@refs/pr/13/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/mispeech/r1-aqa/resolve/refs%2Fpr%2F13/tokenizer_config.json
638 kB
File too large to display, you can check the raw version instead.