transformers

f38d6639 - fix: correct type annotations across config classes for @strict validation (#45007)

fix: correct type annotations across config classes for @strict validation (#45007) * fix: correct type annotations across config classes for @strict validation Fix bool fields mistyped as int (would fail @strict validation): - BigBird, Cohere2: use_cache: int → bool - MBart, M2M100: scale_embedding: int → bool - OLMo, OLMo2, OLMo3, OLMoE, PhiMoE, Eurobert, PaddleOCR-VL: tie_word_embeddings: int → bool - DAB-DETR, MVP, EncoderDecoder, SpeechEncoderDecoder: is_encoder_decoder: int → bool - Ernie4.5-MoE, Ernie4.5-VL-MoE: use_bias: int → bool - Falcon-H1, Ernie4.5, PaddleOCR-VL: use_cache: int → bool - Chameleon: attention_bias: int → bool - GroundingDINO: two_stage: int → bool - OmDet-Turbo: learn_initial_query: int → bool Fix 336 dropout/rate/multiplier/scaling fields from bare float to float | int across 163 config files and 14 modular source files. This prevents @strict TypeError when hub configs store these values as integers (e.g., dropout: 0 instead of dropout: 0.0). Follows the existing pattern used by LlamaConfig, MistralConfig, AlbertConfig, and DistilBertConfig which already use float | int. Both generated configuration files and their modular source files are updated to ensure make fix-repo consistency. * fix: regenerate videomt config from modular source Propagate float | int type annotations for hidden_dropout_prob and drop_path_rate from the eomt modular parent to the generated configuration_videomt.py file. --------- Co-authored-by: Raushan Turganbay <raushan@huggingface.co>