Instructions to use sthui/SimpleSeg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sthui/SimpleSeg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sthui/SimpleSeg", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sthui/SimpleSeg", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 401 Bytes
bb3e9f0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"auto_map": {
"AutoImageProcessor": "image_processing_kimi_vl.KimiVLImageProcessor",
"AutoProcessor": "processing_kimi_vl.KimiVLProcessor"
},
"in_token_limit": 4096,
"patch_size": 14,
"num_pooled_tokens": 1024,
"image_mean": [
0.5,
0.5,
0.5
],
"image_std": [
0.5,
0.5,
0.5
],
"pad_input": true
} |