transformers ahmadmustafaanis · COMPLETED
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
github.com/ahmadmustafaanis/transformers · ★ 0 · Forks 0 · Size 276.2 MB
SUMMARY
Technologies 24
Scored 24
Observed 24
Practices 6
Evidence 25
Skips 0
COVERAGE
Analyzed 4840 files · 18375 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
25 files · PRODUCTION
Shell LANGUAGE Depth 70
28 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
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Python LANGUAGE Depth 70
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pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
Elasticsearch DATABASE Depth 77
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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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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
15 files · PRODUCTION, TEST
pytest TESTING Depth 81
103 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2018-10-29
Last commit 2025-03-26
Active months 78
Commits 18375