models_server.py error

[lovelucymuch]

python models_server.py --config configs/config.gradio.yaml
Fetching 27 files: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████| 27/27 [00:00<00:00, 223365.30it/s]
text_config_dict is provided which will be used to initialize CLIPTextConfig. The value text_config["id2label"] will be overriden.
text_config_dict is provided which will be used to initialize CLIPTextConfig. The value text_config["id2label"] will be overriden.
WARNING:datasets.builder:Found cached dataset cmu-arctic-xvectors (/home/cv_lifei/.cache/huggingface/datasets/cmu-arctic-xvectors/default/0.0.1/a62fea1f9415e240301ea0042ffad2a3aadf4d1caa7f9a8d9512d631723e781f)
Some weights of DPTForDepthEstimation were not initialized from the model checkpoint at models/Intel/dpt-large and are newly initialized: ['neck.fusion_stage.layers.0.residual_layer1.convolution1.bias', 'neck.fusion_stage.layers.0.residual_layer1.convolution2.bias', 'neck.fusion_stage.layers.0.residual_layer1.convolution1.weight', 'neck.fusion_stage.layers.0.residual_layer1.convolution2.weight']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
Could not load the custom kernel for multi-scale deformable attention: [Errno 2] No such file or directory: '/raid/anaconda3/envs/lifei_llm/lib/python3.10/site-packages/transformers/models/deformable_detr/custom_kernel/vision.cpp'
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
text_config_dict is provided which will be used to initialize CLIPTextConfig. The value text_config["id2label"] will be overriden.
[ ready ] 52.25122785568237s

[qyaaang]

I get the following message:

Fetching 27 files: 100%|█████████████████████| 27/27 [00:00<00:00, 141734.93it/s]
text_config_dict is provided which will be used to initialize CLIPTextConfig. The value text_config["id2label"] will be overriden.
text_config_dict is provided which will be used to initialize CLIPTextConfig. The value text_config["id2label"] will be overriden.
Some weights of DPTForDepthEstimation were not initialized from the model checkpoint at models/Intel/dpt-large and are newly initialized: ['neck.fusion_stage.layers.0.residual_layer1.convolution2.bias', 'neck.fusion_stage.layers.0.residual_layer1.convolution1.bias', 'neck.fusion_stage.layers.0.residual_layer1.convolution2.weight', 'neck.fusion_stage.layers.0.residual_layer1.convolution1.weight']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
text_config_dict is provided which will be used to initialize CLIPTextConfig. The value text_config["id2label"] will be overriden.
Killed