Instructions to use pogzyb/face-segmenter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pogzyb/face-segmenter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="pogzyb/face-segmenter", trust_remote_code=True)# Load model directly from transformers import AutoModelForImageSegmentation model = AutoModelForImageSegmentation.from_pretrained("pogzyb/face-segmenter", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 362 Bytes
0342dad 6d17dbb 0342dad 6d17dbb 0342dad | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"auto_map": {
"AutoImageProcessor": "image_processor.FaceSegformerImageProcessor"
},
"data_format": "channels_first",
"image_processor_type": "FaceSegformerImageProcessor",
"image_size": [
224,
224
],
"normalize_mean": [
0.485,
0.456,
0.406
],
"normalize_std": [
0.229,
0.224,
0.225
],
"resample": 2
}
|