Instructions to use sthui/SimpleSeg-Qwen2.5-VL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sthui/SimpleSeg-Qwen2.5-VL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sthui/SimpleSeg-Qwen2.5-VL", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sthui/SimpleSeg-Qwen2.5-VL", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 5dfd62d287ee2042f08b3a060bfe3996b214426071db91a84db58c546905e3ce
- Size of remote file:
- 348 kB
- SHA256:
- 2be7d1d48c640d9048884d9cb858303e373a22178e6a4c875b675a338502604a
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