transformers nerdai · COMPLETED
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
github.com/nerdai/transformers · ★ 1 · Forks 0 · Size 269.3 MB
SUMMARY
Technologies 25
Scored 25
Observed 25
Practices 6
Evidence 26
Skips 0
COVERAGE
Analyzed 5058 files · 18159 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
26 files · PRODUCTION
Shell LANGUAGE Depth 70
56 files · PRODUCTION
C++ LANGUAGE Depth 70
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JSON LANGUAGE Depth 70
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TOML LANGUAGE Depth 70
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Markdown LANGUAGE Depth 70
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YAML LANGUAGE Depth 70
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SQL LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
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pip BUILD_TOOL Depth 80
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Poetry BUILD_TOOL Depth 80
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Elasticsearch DATABASE Depth 81
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FastAPI FRAMEWORK Depth 58
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Jinja2 LIBRARY Depth 62
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Laravel Pint QUALITY Depth 58
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NumPy LIBRARY Depth 85
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PostgreSQL DATABASE Depth 62
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Pydantic LIBRARY Depth 58
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Redis CACHE Depth 65
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Requests LIBRARY Depth 85
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Starlette FRAMEWORK Depth 58
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TypeScript LANGUAGE Depth 81
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Uvicorn LIBRARY Depth 58
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pandas LIBRARY Depth 85
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pytest TESTING Depth 81
98 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2018-10-29
Last commit 2025-03-03
Active months 78
Commits 18159