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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 10.1 MB
-
https://huggingface.co/trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration/resolve/main/model.safetensors
- Command line
-
hf download hf://trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration/resolve/main/model.safetensors
10.1 MB
- Xet hash:
- 574b06059d9e277af855bd787eb27c3965d3787805ef14fd591fcd95ae04138e
- Size of remote file:
- 10.1 MB
- SHA256:
- 9f4667b0e52c1318e3d497258df4dfc4e338177cacb7b51eb759a00aff2ce2fe
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