Image Segmentation
Transformers
PyTorch
modnet
feature-extraction
image-matting
background-removal
computer-vision
custom-architecture
custom_code
Instructions to use boopathiraj/MODNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boopathiraj/MODNet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="boopathiraj/MODNet", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("boopathiraj/MODNet", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 295 Bytes
4bdad8d | 1 2 3 4 5 6 7 8 9 10 11 | import torch
from torch import nn
from transformers import PreTrainedModel, PretrainedConfig
class MODNetConfig(PretrainedConfig):
model_type = "modnet"
def __init__(self, backbone="mobilenetv2", **kwargs):
super().__init__(**kwargs)
self.backbone = backbone
|