Instructions to use Lewislou/cell-seg-sribd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lewislou/cell-seg-sribd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="Lewislou/cell-seg-sribd")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Lewislou/cell-seg-sribd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download models/__pycache__/__init__.cpython-38.pyc from Lewislou/cell-seg-sribd: direct link, hf CLI and curl.
- Browser
- Download file 282 Bytes
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https://huggingface.co/Lewislou/cell-seg-sribd/resolve/main/models/__pycache__/__init__.cpython-38.pyc
- Command line
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hf download hf://Lewislou/cell-seg-sribd/models/__pycache__/__init__.cpython-38.pyc
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curl -L -o __init__.cpython-38.pyc https://huggingface.co/Lewislou/cell-seg-sribd/resolve/main/models/__pycache__/__init__.cpython-38.pyc
282 Bytes
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