Instructions to use ayanami-kitasan/code-pruner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayanami-kitasan/code-pruner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ayanami-kitasan/code-pruner")# Load model directly from transformers import SwePrunerForCodeCompression model = SwePrunerForCodeCompression.from_pretrained("ayanami-kitasan/code-pruner", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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datasets:
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- Raymone023/SWE-QA-Benchmark
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- Steefano/LCB
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- microsoft/LCC_python
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- nick007x/github-code-2025
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metrics:
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- f1
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- context-pruning
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- agent
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datasets:
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- nick007x/github-code-2025
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metrics:
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- f1
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