Instructions to use AtAndDev/UVOX-50k-Llama-3.2-1B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AtAndDev/UVOX-50k-Llama-3.2-1B-Instruct with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AtAndDev/UVOX-50k-Llama-3.2-1B-Instruct", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from AtAndDev/UVOX-50k-Llama-3.2-1B-Instruct: direct link, hf CLI and curl.
- Browser
- Download file 270 Bytes
-
https://huggingface.co/AtAndDev/UVOX-50k-Llama-3.2-1B-Instruct/resolve/main/processor_config.json
- Command line
-
hf download hf://AtAndDev/UVOX-50k-Llama-3.2-1B-Instruct/processor_config.json
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curl -L -o processor_config.json https://huggingface.co/AtAndDev/UVOX-50k-Llama-3.2-1B-Instruct/resolve/main/processor_config.json
270 Bytes
| { | |
| "audio_context_size": 3000, | |
| "audio_padding": "longest", | |
| "audio_placeholder": "<|audio|>", | |
| "auto_map": { | |
| "AutoProcessor": "ultravox_processing.UltravoxProcessor" | |
| }, | |
| "encoder_ds_factor": 2, | |
| "processor_class": "UltravoxProcessor", | |
| "stack_factor": 8 | |
| } | |