Error while trying simple inference
Using local inference code example given in model card I am getting the below errorTraceback (most recent call last): File "D:\ML-AI\clip_hdbscan_clustering.py", line 24, in <module> processor = AutoImageProcessor.from_pretrained("facebook/dinov3-vit7b16-pretrain-lvd1689m") File "D:\env\lib\site-packages\transformers\models\auto\image_processing_auto.py", line 615, in from_pretrained raise ValueError( ValueError: Unrecognized image processor in facebook/dinov3-vit7b16-pretrain-lvd1689m. Should have aimage_processor_typekey in its preprocessor_config.json of config.json, or one of the followingmodel_typekeys in its config.json: aimv2, aimv2_vision_model, align, aria, beit, bit, blip, blip-2, bridgetower, chameleon, chinese_clip, clip, clipseg, cohere2_vision, conditional_detr, convnext, convnextv2, cvt, data2vec-vision, deepseek_vl, deepseek_vl_hybrid, deformable_detr, deit, depth_anything, depth_pro, deta, detr, dinat, dinov2, donut-swin, dpt, efficientformer, efficientloftr, efficientnet, eomt, flava, focalnet, fuyu, gemma3, gemma3n, git, glm4v, glpn, got_ocr2, grounding-dino, groupvit, hiera, idefics, idefics2, idefics3, ijepa, imagegpt, instructblip, instructblipvideo, janus, kosmos-2, layoutlmv2, layoutlmv3, levit, lightglue, llama4, llava, llava_next, llava_next_video, llava_onevision, mask2former, maskformer, mgp-str, mistral3, mlcd, mllama, mm-grounding-dino, mobilenet_v1, mobilenet_v2, mobilevit, mobilevitv2, nat, nougat, oneformer, owlv2, owlvit, paligemma, perceiver, perception_lm, phi4_multimodal, pix2struct, pixtral, poolformer, prompt_depth_anything, pvt, pvt_v2, qwen2_5_vl, qwen2_vl, regnet, resnet, rt_detr, sam, sam_hq, segformer, seggpt, shieldgemma2, siglip, siglip2, smolvlm, superglue, superpoint, 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
plz update transformers
