Fix bug with state loading on lora_decoder.ipynb
#104
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Problem
In the Google Colab notebook where training with LoRA is showcased, the script expects model weights to be in a binary format (in
pytorch_model.bin). However, that's not the case anymore sinceacceleratorstores the weights insafetensorsformat.Solution
In this PR, I've added a new block where the
safetensorsweights forpriorandloraare read and loaded in two dictionaries. Then, the dictionaries are used to load the states, which essentially resolved the problem.This bug was first mentioned in #102