Building a Pictionary App Guide

Hi, I’m a 15 year old high school student. I’m following this Gradio Pictionary tutorial: Building A Pictionary App.
I tried running the code on Colab and ran into a problem on Step 1. I think the shape of model and the pretrained checkpoints pytorch_model.bin that I’m using do not match up.

The pytorch_model.bin linked on the page is a git lfs file. To work around that, I obtained the file from nateraw/quickdraw at main, in particular,

Can you please let me know where I can get the correct pytorch_model.bin file or how I should change the model architecture in the code below?

Below is the relevant portion of the code, as well as the error I’m getting.


model = nn.Sequential(
    nn.Conv2d(1, 32, 3, padding='same'),
    nn.Conv2d(32, 64, 3, padding='same'),
    nn.Conv2d(64, 128, 3, padding='same'),
    nn.Linear(1152, 256),
    nn.Linear(256, len(LABELS)),
state_dict = torch.load("pytorch_model.bin", map_location='cpu')
model.load_state_dict(state_dict, strict=False)
RuntimeError                              Traceback (most recent call last)
[<ipython-input-57-192dd46058ba>](https://localhost:8080/#) in <module>()
     18 )
     19 state_dict = torch.load("pytorch_model.bin", map_location='cpu')
---> 20 model.load_state_dict(state_dict, strict=False)
     21 model.eval()

[/usr/local/lib/python3.7/dist-packages/torch/nn/modules/](https://localhost:8080/#) in load_state_dict(self, state_dict, strict)
   1603         if len(error_msgs) > 0:
   1604             raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
-> 1605                                self.__class__.__name__, "\n\t".join(error_msgs)))
   1606         return _IncompatibleKeys(missing_keys, unexpected_keys)

RuntimeError: Error(s) in loading state_dict for Sequential:
size mismatch for 12.weight: copying a param with shape torch.Size([100, 256]) from checkpoint, the shape in current model is torch.Size([2, 256]).
size mismatch for 12.bias: copying a param with shape torch.Size([100]) from checkpoint, the shape in current model is torch.Size([2]).

Hi @GNTK436869 ! Thanks for taking an interest in gradio.

You should be able to get the weights from here

You should be able to do the following: git clone

Hi Freddy,
Thank you for your help. I found out the source of my error. I messed up the number of labels and ended up with two of them instead of the 100 that are required. Everything is good now.