Audio-Text-to-Text
Transformers
Safetensors
qwen2_5_omni
text-to-audio
audio
audio-question-answering
audio-classification
candidate-scoring
Instructions to use shlv/AudioJev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shlv/AudioJev with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("shlv/AudioJev") model = AutoModelForMultimodalLM.from_pretrained("shlv/AudioJev", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from shlv/AudioJev: direct link, hf CLI and curl.
- Browser
- Download file 69 Bytes
-
https://huggingface.co/shlv/AudioJev/resolve/main/generation_config.json
- Command line
-
hf download hf://shlv/AudioJev/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/shlv/AudioJev/resolve/main/generation_config.json
69 Bytes
| { | |
| "_from_model_config": true, | |
| "transformers_version": "4.57.6" | |
| } | |