yisampi

the same question:where is the val_40_att_list.txt and test_40_att_list.txt

测试的结果 没有老版本你训练出来的效果好

same question

不支持Red Hat Enterprise Linux Server release 7.6 (Maipo)吗？

vi seetaface/api.py elif "redhat" in platform_name: LIB_PATH = os.path.join(API_DIR,"lib","centos") dll = CDLL(os.path.join(LIB_PATH, "libSeetaFaceAPI.so"))

kind: StatefulSet apiVersion: apps/v1 metadata: name: s2ioperator namespace: kubesphere-devops-system labels: app.kubernetes.io/managed-by: Helm control-plane: s2ioperator controller-tools.k8s.io: '1.0' annotations: meta.helm.sh/release-name: devops meta.helm.sh/release-namespace: kubesphere-devops-system spec: replicas: 1 create StatefulSet for s2ioperator to solve...

还是报错 用的包是4.30.2的 ========== Usage ========== Start Inference with instruction mode. You can enter instruction or special control commands after '>'. Below are the usage of the control commands change image:[image_path]...

$ sha256sum pytorch_model-00001-of-00002.bin 49b85640d6a7018f232480e9a456cb608b20cd8f8a57a3f0d012024b3e2f01ef pytorch_model-00001-of-00002.bin $ sha256sum pytorch_model-00002-of-00002.bin b2acf3114832cb44ee364a2c5cd7cf79bc23e169027b0eecbbc7e9e8fbf5f16f pytorch_model-00002-of-00002.bin $ sha256sum ../vision_encoder/pytorch_model.bin 0bda0cfbf762fadecabf497b2868e622ce2ab715fe0857bce753b182abf58efb ../vision_encoder/pytorch_model.bin $ cd .. $ sha256sum pytorch_model.bin ddf47efa9d28513f1b21d5aa0527277094c0bad3d9d099d9b11841a5b5605c6b pytorch_model.bin 模型是在4.30.2的transformers下合并的 sha256值应该是一样

不知道为啥 换了台机器 重新来一遍就好了

嗯 是我配置错了 visualcla_merged_model : [Path/For/Merged_Model] 之前这里路径我配置成models/visualcla_merged-7b，应该是Merged_Model的路径 谢谢