Hello, I've trained a model in Google Colab. However, when attempting to convert or use the model in either Colab or Ubuntu, I encounter an error. I need assistance with fixing this issue.

!python -m precise.scripts.convert /content/drive/MyDrive/mycroft-precise/nili.net

/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:528: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:529: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:530: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:535: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
Using TensorFlow backend.
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/content/drive/MyDrive/mycroft-precise/precise/scripts/convert.py", line 91, in
main()
File "/content/drive/MyDrive/mycroft-precise/precise/scripts/base_script.py", line 49, in run_main
script.run()
File "/content/drive/MyDrive/mycroft-precise/precise/scripts/convert.py", line 39, in run
self.convert(args.model, args.out.format(model=model_name))
File "/content/drive/MyDrive/mycroft-precise/precise/scripts/convert.py", line 60, in convert
model = load_precise_model(model_path)
File "/content/drive/MyDrive/mycroft-precise/precise/model.py", line 54, in load_precise_model
return load_keras().models.load_model(model_name)
File "/usr/local/lib/python3.7/dist-packages/keras/engine/saving.py", line 419, in load_model
model = _deserialize_model(f, custom_objects, compile)
File "/usr/local/lib/python3.7/dist-packages/keras/engine/saving.py", line 251, in _deserialize_model
if weight_names:
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

for ubuntu:

precise-listen and precise-convert:

Converting nili_alldata8ep.net to nili_alldata8ep.pb ...
Using TensorFlow backend.
Traceback (most recent call last):
File "/home/user/Desktop/mycroft/.venv/bin/precise-convert", line 33, in
sys.exit(load_entry_point('mycroft-precise', 'console_scripts', 'precise-convert')())
File "/home/user/Desktop/mycroft/precise/scripts/base_script.py", line 49, in run_main
script.run()
File "/home/user/Desktop/mycroft/precise/scripts/convert.py", line 39, in run
self.convert(args.model, args.out.format(model=model_name))
File "/home/user/Desktop/mycroft/precise/scripts/convert.py", line 60, in convert
model = load_precise_model(model_path)
File "/home/user/Desktop/mycroft/precise/model.py", line 54, in load_precise_model
return load_keras().models.load_model(model_name)
File "/home/user/Desktop/mycroft/.venv/lib/python3.7/site-packages/keras/models.py", line 243, in load_model
model = model_from_config(model_config, custom_objects=custom_objects)
File "/home/user/Desktop/mycroft/.venv/lib/python3.7/site-packages/keras/models.py", line 317, in model_from_config
return layer_module.deserialize(config, custom_objects=custom_objects)
File "/home/user/Desktop/mycroft/.venv/lib/python3.7/site-packages/keras/layers/init.py", line 55, in deserialize
printable_module_name='layer')
File "/home/user/Desktop/mycroft/.venv/lib/python3.7/site-packages/keras/utils/generic_utils.py", line 144, in deserialize_keras_object
list(custom_objects.items())))
File "/home/user/Desktop/mycroft/.venv/lib/python3.7/site-packages/keras/models.py", line 1367, in from_config
if 'class_name' not in config[0] or config[0]['class_name'] == 'Merge':
KeyError: 0