huihui-ai

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Qwen2.5-VL-7B-Instruct-abliterated

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Traceback (most recent call last):
File "C:\software_app\AI_related\qwen2vl.py", line 7, in
processor = AutoProcessor.from_pretrained("huihui-ai/Qwen2.5-VL-7B-Instruct-abliterated")
File "C:\Users[user]\AppData\Roaming\Python\Python310\site-packages\transformers\models\auto\processing_auto.py", line 336, in from_pretrained
return processor_class.from_pretrained(
File "C:\Users[user]\AppData\Roaming\Python\Python310\site-packages\transformers\processing_utils.py", line 1070, in from_pretrained
args = cls._get_arguments_from_pretrained(pretrained_model_name_or_path, **kwargs)
File "C:\Users[user]\AppData\Roaming\Python\Python310\site-packages\transformers\processing_utils.py", line 1116, in _get_arguments_from_pretrained
args.append(attribute_class.from_pretrained(pretrained_model_name_or_path, **kwargs))
File "C:\Users[user]\AppData\Roaming\Python\Python310\site-packages\transformers\models\auto\image_processing_auto.py", line 570, in from_pretrained
raise ValueError(
ValueError: Unrecognized image processor in huihui-ai/Qwen2.5-VL-7B-Instruct-abliterated. Should have a image_processor_type key in its preprocessor_config.json of config.json, or one of the following model_type keys in its config.json: align, aria, beit, bit, blip, blip-2, bridgetower, chameleon, chinese_clip, clip, clipseg, conditional_detr, convnext, convnextv2, cvt, data2vec-vision, deformable_detr, deit, depth_anything, depth_pro, deta, detr, dinat, dinov2, donut-swin, dpt, efficientformer, efficientnet, flava, focalnet, fuyu, git, glpn, got_ocr2, grounding-dino, groupvit, hiera, idefics, idefics2, idefics3, ijepa, imagegpt, instructblip, instructblipvideo, kosmos-2, layoutlmv2, layoutlmv3, levit, llava, llava_next, llava_next_video, llava_onevision, mask2former, maskformer, mgp-str, mllama, mobilenet_v1, mobilenet_v2, mobilevit, mobilevitv2, nat, nougat, oneformer, owlv2, owlvit, paligemma, perceiver, pix2struct, pixtral, poolformer, pvt, pvt_v2, qwen2_5_vl, qwen2_vl, regnet, resnet, rt_detr, sam, segformer, seggpt, siglip, siglip2, superglue, swiftformer, swin, swin2sr, swinv2, table-transformer, timesformer, timm_wrapper, tvlt, tvp, udop, upernet, van, videomae, vilt, vipllava, vit, vit_hybrid, vit_mae, vit_msn, vitmatte, xclip, yolos, zoedepth

Using transformers-4.50.0.dev0 and qwen-vl-utils-0.0.10