Instructions to use microsoft/colipri with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- COLIPRI
How to use microsoft/colipri with COLIPRI:
pip install colipri
from colipri import get_model from colipri import get_processor from colipri import load_sample_ct from colipri import ZeroShotImageClassificationPipeline model = get_model().cuda() processor = get_processor() pipeline = ZeroShotImageClassificationPipeline("microsoft/colipri", processor) image = load_sample_ct() pipeline(image, ["No lung nodules", "Lung nodules"]) - Notebooks
- Google Colab
- Kaggle
Bump version: 0.1.1 → 0.1.2
Browse files- pyproject.toml +2 -2
- src/colipri/__init__.py +1 -1
pyproject.toml
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@@ -1,6 +1,6 @@
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[project]
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name = "colipri"
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version = "0.1.
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description = "Vision-language encoder for chest CT scans and reports."
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readme = "README.md"
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authors = [
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force-single-line = true
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[tool.bumpversion]
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current_version = "0.1.
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commit = true
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tag = true
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[project]
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name = "colipri"
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version = "0.1.2"
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description = "Vision-language encoder for chest CT scans and reports."
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readme = "README.md"
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authors = [
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force-single-line = true
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[tool.bumpversion]
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+
current_version = "0.1.2"
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commit = true
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tag = true
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src/colipri/__init__.py
CHANGED
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@@ -10,4 +10,4 @@ __all__ = [
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"ZeroShotImageClassificationPipeline",
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]
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-
__version__ = "0.1.
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"ZeroShotImageClassificationPipeline",
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]
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__version__ = "0.1.2"
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