Instructions to use trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration") model = AutoModelForMultimodalLM.from_pretrained("trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 574b06059d9e277af855bd787eb27c3965d3787805ef14fd591fcd95ae04138e
- Size of remote file:
- 10.1 MB
- SHA256:
- 9f4667b0e52c1318e3d497258df4dfc4e338177cacb7b51eb759a00aff2ce2fe
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