Categories / huggingface/transformers / xray

huggingface/transformersframework

Transformers centralizes model definitions for text, vision, audio and multimodal models so training and inference frameworks across the ecosystem can share a single implementation.

Pythonstars 163,268license Apache-2.0pushed today

audiodeep-learningdeepseekgemmaglmhacktoberfestllmmachine-learningmodel-hubnatural-language-processingnlppretrained-modelspythonpytorchpytorch-transformersqwenspeech-recognitiontransformervlm

7.5COMPOSITE

REPO-RATERADEEP AUDIT · 07/2026

⋯

raw.json

STRUCTURE · 4 semantic modules from 76 file embeddings"what is this codebase?"

TRANSFORMERS48%HuggingFace, rights, __init__

TRANSFORMERS34%HuggingFace, Team, rights

TRANSFORMERS16%__init__, forward, class

UTILS1%__init__, check_min_version, get_available_devices

bright = judge read it · ▲ = risk surface · click anything to cross-highlight

AUDIT COVERAGE · judge covered 13% of semantic mass (depth-weighted)"can I trust this audit?"

full files read

outline only

via probe window

13%

unread

73%

depth of exposure across all 76 files (sums to 100%) · headline discounts outline ×0.3 and probe ×0.25 exposure

covered mass by module

TRANSFORMERS

15%

TRANSFORMERS

17%

TRANSFORMERS

UTILS

Distinct unread: src/transformers/generation/utils.py, src/transformers/models/auto/tokenization_auto.py, src/transformers/tokenization_utils_base.py, src/transformers/processing_utils.py, src/transformers/cache_utils.py, utils/check_docstrings.py, src/transformers/configuration_utils.py, utils/check_repo.py, src/transformers/models/moshi/modeling_moshi.py, src/transformers/image_utils.py, src/transformers/integrations/accelerate.py, src/transformers/convert_slow_tokenizer.py, src/transformers/models/bert/modeling_bert.py, utils/get_ci_error_statistics.py, src/transformers/utils/generic.py, src/transformers/models/llama/modeling_llama.py, src/transformers/utils/quantization_config.py, src/transformers/models/esm/openfold_utils/__init__.py, src/transformers/models/llama/configuration_llama.py, src/transformers/trainer_utils.py

CLAIMS vs CODE · 4 README claims traced"is the README honest?"

◐ PARTIALLicensed under the Apache License, Version 2.benchmark_v2/framework/benchmark_config.py 0.53 · src/transformers/models/colqwen2/configuration_colqwen2.py 0.53 · src/transformers/utils/versions.py 0.52

◐ PARTIALsimple, customizable, and efficient.src/transformers/trainer_utils.py 0.5 · src/transformers/trainer.py 0.48 · src/transformers/cli/chat.py 0.48

● BACKEDThere are over 1M+ Transformers model checkpoints on the Hugging Face Hub you can use.src/transformers/models/auto/modeling_auto.py 0.64 · src/transformers/testing_utils.py 0.63 · src/transformers/trainer_utils.py 0.62

RISK SURFACE · files with supply-chain affinity ≥ .5"where are the risks?"

src/transformers/modeling_utils.pysupply-chain affinity 0.5 · read by judge ✓

src/transformers/integrations/peft.pysupply-chain affinity 0.523 · not in dossier ✗

benchmark_v2/framework/benchmark_config.pysupply-chain affinity 0.513 · not in dossier ✗

utils/create_dependency_mapping.pysupply-chain affinity 0.506 · not in dossier ✗