Instructions to use BAAI/SegVol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/SegVol with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BAAI/SegVol", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BAAI/SegVol", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8b9803c36ebd9e2098cebd49e5bcfbc1c27f20a17c66129b899cb5baaf57167
- Size of remote file:
- 977 kB
- SHA256:
- cd3b1d3f71fb084794a813794ec407c6db5502f64936bd319880ae66e73ed986
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