Instructions to use MRiabov/WireSegHR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MRiabov/WireSegHR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="MRiabov/WireSegHR")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MRiabov/WireSegHR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add ResNet-50 as a backbone option
a2999cc -
(cleanup) removing timm from the codebase.
e3ab023 -
(debug) 6 chan instead of 7. (warn: conflicting git changes)
a527623 -
to mit_b2 as per paper
d46d294
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(format) format
6928e82 -
Training loop and around the codebase
8e73ec9 -
Project skeleton generated
8ea2eff