Instructions to use stumbledparams/Qwen2.5-VL-3B-Instruct-Thinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stumbledparams/Qwen2.5-VL-3B-Instruct-Thinking with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("stumbledparams/Qwen2.5-VL-3B-Instruct-Thinking", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7f998f0c7d692745745978dca8aa26aa9f9fe4a30d25d36d169ccc56be152c9
- Size of remote file:
- 6.99 kB
- SHA256:
- 8d39cf8175894e0fcf1245430431e49f63f020363e5b74db9bb124ade26d94c2
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