WentaoZhang

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I might add that what the correct Post address is and the how the post method of use differ from the official one. Thank you for answering my question

I followed the [https://github.com/tensorflow/serving](url) ![image](https://github.com/bitnami/containers/assets/96490044/7eb389ec-01c1-47d5-aa2f-2164388afa6f) what's more, the tensorflow website [https://tensorflow.google.cn/tfx/serving/api_rest](url) also provides the predict api format. this is POST http://host:port/v1/models/${MODEL_NAME}[/versions/${VERSION}|/labels/${LABEL}]:predict,I can run successfully through the mirror image given by...

I have already tried the url http://localhost:8501/v1/models/model:predict, but it is still an error

H! @juan131 I have followed your steps and it had this error: ![image](https://github.com/bitnami/containers/assets/96490044/1cc41f31-edb2-4b0d-a44b-4036fa819a47) This is the logs ![image](https://github.com/bitnami/containers/assets/96490044/a0f7afae-864d-4c4f-a1d0-9e4822cd39cf)

It still don't work ![image](https://github.com/bitnami/containers/assets/96490044/555f30ee-debd-4466-869d-4a010800ddbe)

![image](https://github.com/bitnami/containers/assets/96490044/97f43bcb-27b7-4f32-b240-d8d9e51e1ea8) yes, the model has be copied to the /bitnami/model-data. The are two subdirectories in the /bitnami directory. The tensorflow-serving folder is empty, and the model-data folder has the mounted...

I also have the problem. When I use the "balanced" mode in the http://localhost:3000/, it doesn't return the result with any the Hugging Face embedding models.