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
| { | |
| "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 | |
| } | |