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Fix some missing / incorrect entries in auto files #44724

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Fix some missing / incorrect entries in auto files #44724

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1 change: 1 addition & 0 deletions src/transformers/models/auto/configuration_auto.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1120,6 +1120,7 @@
("wav2vec2-bert", "wav2vec2_bert"),
("vibevoice_acoustic_tokenizer_encoder", "vibevoice_acoustic_tokenizer"),
("vibevoice_acoustic_tokenizer_decoder", "vibevoice_acoustic_tokenizer"),
('mlcd_vision_model', "mlcd"),
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@ydshieh ydshieh Mar 16, 2026

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For mlcd, #44730 contains more fixes. This part is only for tiny model creation.

]
)

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1 change: 1 addition & 0 deletions src/transformers/models/auto/image_processing_auto.py
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Expand Up @@ -228,6 +228,7 @@
("vit_msn", ("ViTImageProcessor", "ViTImageProcessorFast")),
("vitmatte", ("VitMatteImageProcessor", "VitMatteImageProcessorFast")),
("vitpose", ("VitPoseImageProcessor", "VitPoseImageProcessorFast")),
("vivit", ("VivitImageProcessor", None)),
("xclip", ("CLIPImageProcessor", "CLIPImageProcessorFast")),
("yolos", ("YolosImageProcessor", "YolosImageProcessorFast")),
("zoedepth", ("ZoeDepthImageProcessor", "ZoeDepthImageProcessorFast")),
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3 changes: 1 addition & 2 deletions src/transformers/models/auto/modeling_auto.py
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Expand Up @@ -984,7 +984,7 @@ class _BaseModelWithGenerate(PreTrainedModel, GenerationMixin):
("paligemma", "PaliGemmaForConditionalGeneration"),
("perception_lm", "PerceptionLMForConditionalGeneration"),
("pix2struct", "Pix2StructForConditionalGeneration"),
("pixtral", "LlavaForConditionalGeneration"),
("llava", "LlavaForConditionalGeneration"),
("qwen2_5_vl", "Qwen2_5_VLForConditionalGeneration"),
("qwen2_vl", "Qwen2VLForConditionalGeneration"),
("qwen3_5", "Qwen3_5ForConditionalGeneration"),
Expand Down Expand Up @@ -1617,7 +1617,6 @@ class _BaseModelWithGenerate(PreTrainedModel, GenerationMixin):
# Model for Text-To-Waveform mapping
("bark", "BarkModel"),
("csm", "CsmForConditionalGeneration"),
("fastspeech2_conformer", "FastSpeech2ConformerWithHifiGan"),
("fastspeech2_conformer_with_hifigan", "FastSpeech2ConformerWithHifiGan"),
("higgs_audio_v2", "HiggsAudioV2ForConditionalGeneration"),
("musicgen", "MusicgenForConditionalGeneration"),
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2 changes: 1 addition & 1 deletion src/transformers/models/evolla/configuration_evolla.py
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Expand Up @@ -114,7 +114,7 @@ class EvollaConfig(PreTrainedConfig):
>>> configuration = model.config
```"""

model_type = "EvollaModel"
model_type = "evolla"
sub_configs = {"protein_encoder_config": SaProtConfig}
default_theta = 500000.0

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4 changes: 2 additions & 2 deletions src/transformers/models/lasr/configuration_lasr.py
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Expand Up @@ -59,7 +59,7 @@ class LasrEncoderConfig(PreTrainedConfig):
```
This configuration class is based on the LasrEncoder architecture from Google Health AI. You can find more details
and pre-trained models at [TODO/TODO](https://huggingface.co/TODO/TODO).
and pre-trained models at [google/medasr](https://huggingface.co/google/medasr).
"""

model_type = "lasr_encoder"
Expand Down Expand Up @@ -148,7 +148,7 @@ class LasrCTCConfig(PreTrainedConfig):
>>> configuration = model.config
```
This configuration class is based on the Lasr CTC architecture from Google Health AI. You can find more details
and pre-trained models at [TODO/TODO](https://huggingface.co/TODO/TODO).
and pre-trained models at [google/medasr](https://huggingface.co/google/medasr).
"""

model_type = "lasr_ctc"
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