ML Skill are not created error 103

How to proper create a ML Skill ?

Train ML Package and successfully create a Pipeline

But the new ML Skill it fails with no error

The error can be seen in support bundle log from documentation

[103] [ERROR] Exception in worker process

File "/microservice/main.py", line 26, in __init__

service_internal.init(opt_in=self.opt, args=argv.ArgvParser().parse(args))

File "<frozen extraction.model_tag.service_internal>", line 113, in init

File "<frozen util.model>", line 209, in load

File "/opt/conda/lib/python3.8/site-packages/torch/serialization.py", line 579, in load

with _open_file_like(f, 'rb') as opened_file:

File "/opt/conda/lib/python3.8/site-packages/torch/serialization.py", line 230, in _open_file_like

return _open_file(name_or_buffer, mode)

File "/opt/conda/lib/python3.8/site-packages/torch/serialization.py", line 211, in __init__

super(_open_file, self).__init__(open(name, mode))

FileNotFoundError: [Errno 2] No such file or directory: '/microservice/models/default/model.p'

[103] [INFO] Worker exiting (pid: 103)

The fix is to create the ML Skill using the x.latest version from ML Skill template.