I have create a docker image using latest code of RASA nlu and RASA core from github.
I have created a model using docker images of RASA nlu using below command
docker run
–mount type=bind,source=/home/docker/rasaproject/,target=/app/project
–mount type=bind,source=/home/docker/rasaproject/models/nlu,target=/app/model
rasa_nlu:latest
run
python -m rasa_nlu.train
-c /app/project/nlu_config.yml
-d /app/project/data/nlu_data.md
-o /app/model
–project current --verbose
Using the above trained model I am trying to run RASA core server with below command
rasa_nlu.model.UnsupportedModelError: The model version is to old to be loaded by this Rasa NLU instance. Either retrain the model, or run withan older version. Model version: 0.0.0 Instance version: 0.15.0a4
I am stuck and any help would be highly appreciated.
rasa.nlu.model.UnsupportedModelError: The model version is to old to be loaded by this Rasa NLU instance. Either retrain the model, or run withan older version. Model version: 0.0.0 Instance version: 0.15.0a6
I have a problem too, I have trained the model using Docker desktop and the output was .tar.gz
And I was trying to test the model and load the interpreter but it didn’t go well. I was trying to load model and test one data using this code but then the error appears.
print(interpreter.parse(“Asus Zenfone Max Pro m2 ram 4 rom 32”))
The model version is to old to be loaded by this Rasa NLU instance. Either retrain the model, or run withan older version. Model version: 0.0.0 Instance version: 0.14.6
Hi @alvipranandha. Did you manage to resolve the “model version is too old” issue? Having the same issue and struggling to figure out how to load the model. Especially cause it says version 0.0.0…