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 model-00001-of-00005.safetensors from shlv/AudioJev: direct link, hf CLI and curl.
- Browser
- Download file 4 GB
-
https://huggingface.co/shlv/AudioJev/resolve/main/model-00001-of-00005.safetensors
- Command line
-
hf download hf://shlv/AudioJev/model-00001-of-00005.safetensors
-
curl -L -o model-00001-of-00005.safetensors https://huggingface.co/shlv/AudioJev/resolve/main/model-00001-of-00005.safetensors
4 GB
- Xet hash:
- cffc410d452df58b6bba3a8c4bc3f81ea7226c2a9d05039bf7279bdeda4ef924
- Size of remote file:
- 4 GB
- SHA256:
- 435a6fbfe7c120119b86076831c2c48542f5018c227d3cfc0856a210d351bf3b
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