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
File size: 379 Bytes
516701d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"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"
}
|