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
| { | |
| "per_channel": true, | |
| "reduce_range": true, | |
| "per_model_config": { | |
| "model": { | |
| "op_types": [ | |
| "Add", | |
| "Relu", | |
| "MatMul", | |
| "Reshape", | |
| "Gather", | |
| "Identity", | |
| "Transpose", | |
| "Slice", | |
| "Cast", | |
| "Sqrt", | |
| "Unsqueeze", | |
| "Resize", | |
| "Erf", | |
| "Shape", | |
| "ReduceMean", | |
| "Mul", | |
| "Sub", | |
| "Concat", | |
| "Softmax", | |
| "Conv", | |
| "Constant", | |
| "Div", | |
| "Pow" | |
| ], | |
| "weight_type": "QUInt8" | |
| } | |
| } | |
| } |