You are trying to load a weight file containing 90 layers into a model with 26 layers.

Unfortunately, this cannot be done directly as the weight file is designed to match the architecture of the original model with 90 layers.

If you still want to use the weight file, you will need to modify the model architecture to match the original model. This could involve adding additional layers or modifying existing layers to match the dimensions of the weights in the file.

Alternatively, you could train a new model from scratch with the desired architecture of 26 layers and initialize the weights randomly or with pre-trained weights from a similar model.

相关问题

ValueError: You are trying to load a weight file containing 131 layers into a model with 115 layers.

This error occurs when you are trying to load a weight file that was trained on a model with a different number of layers than the one you are currently using.

To fix this error, you need to make sure that the weight file you are using matches the architecture of your current model. This can be done by either modifying your model to match the number of layers in the weight file or by finding a weight file that matches your model architecture.

If you choose to modify your model, you will need to add or remove layers to match the number of layers in the weight file. Once your model architecture matches the weight file, you should be able to load the weights without any issues.

Alternatively, if you choose to find a weight file that matches your current model architecture, you can search for a pre-trained model that has the same number of layers as your current model. This will ensure that the weights are compatible with your model and can be loaded without any errors.

rasa.exceptions.ModelNotFound: You are trying to load a model from 'models/20210205-005303.tar.gz', which is not possible. The model path should be a 'tar.gz' file or a directory containing the various model files in the sub-directories 'core' and 'nlu'. If you want to load training data instead of a model, use `agent.load_data(...)` instead. No file or directory at 'models/20210205-005303.tar.gz'.

这是一个 Rasa 异常，表示无法从指定的路径加载模型。该路径应该是一个 'tar.gz' 文件或者包含 'core' 和 'nlu' 子目录中的各种模型文件的目录。如果你想要加载训练数据而不是模型，可以使用 `agent.load_data(...)` 方法。根据错误信息，你需要检查路径是否正确，并确保模型文件存在。