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
| { | |
| "architectures": [ | |
| "SegVolModel" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "model_segvol_single.SegVolConfig", | |
| "AutoModel": "model_segvol_single.SegVolModel" | |
| }, | |
| "model_type": "segvol", | |
| "patch_size": [ | |
| 4, | |
| 16, | |
| 16 | |
| ], | |
| "spatial_size": [ | |
| 32, | |
| 256, | |
| 256 | |
| ], | |
| "test_mode": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.18.0" | |
| } | |