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:
- 9f585908e8aaf4055af8789afdf9864b1fb160cee3399867f04cf62d52cf7839
- Size of remote file:
- 353 MB
- SHA256:
- e8d032a3616497b0bbce2d928510d2e6e06b358f98481223b564aa127b07de32
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