Instructions to use ldhldh/merged-qwen-omni-dare with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ldhldh/merged-qwen-omni-dare with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("ldhldh/merged-qwen-omni-dare") model = AutoModel.from_pretrained("ldhldh/merged-qwen-omni-dare", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7af0d3f53d50a2943006572d81fa08ebc715007b68c269676610934c24cf7f2
- Size of remote file:
- 1.27 GB
- SHA256:
- f2b1fd62f4fef3198a3345d227adfc59c89a821cd601445b6083c15580c6d66a
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