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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
upload demo case
Browse files- Case_image_00001_0000.nii.gz +3 -0
- Case_label_00001.nii.gz +3 -0
Case_image_00001_0000.nii.gz
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oid sha256:002024cf951a2e95ec708090feb4e6701dbf148f49fe59880957fc85820d6ea1
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size 125078461
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Case_label_00001.nii.gz
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oid sha256:cd3b1d3f71fb084794a813794ec407c6db5502f64936bd319880ae66e73ed986
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size 977180
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