---------------------------------------------------------------------------
StopIteration                             Traceback (most recent call last)
Cell In[4], line 5
      1 timm_model = "hf_hub:anonauthors/food101-timm-vit_base_patch16_224.orig_in21k_ft_in1k"
      3 model = partial(timm.create_model, timm_model, pretrained=True)
----> 5 learn = vision_learner(dls, model, metrics=error_rate, cut=-2)

File c:\ProgramData\miniforge3\envs\finetuning\Lib\site-packages\fastai\vision\learner.py:236, in vision_learner(dls, arch, normalize, n_out, pretrained, weights, loss_func, opt_func, lr, splitter, cbs, metrics, path, model_dir, wd, wd_bn_bias, train_bn, moms, cut, init, custom_head, concat_pool, pool, lin_ftrs, ps, first_bn, bn_final, lin_first, y_range, **kwargs)
    234 else:
    235     if normalize: _add_norm(dls, meta, pretrained, n_in)
--> 236     model = create_vision_model(arch, n_out, pretrained=pretrained, weights=weights, **model_args)
    238 splitter = ifnone(splitter, meta['split'])
    239 learn = Learner(dls=dls, model=model, loss_func=loss_func, opt_func=opt_func, lr=lr, splitter=splitter, cbs=cbs,
    240                metrics=metrics, path=path, model_dir=model_dir, wd=wd, wd_bn_bias=wd_bn_bias, train_bn=train_bn, moms=moms)

File c:\ProgramData\miniforge3\envs\finetuning\Lib\site-packages\fastai\vision\learner.py:173, in create_vision_model(arch, n_out, pretrained, weights, cut, n_in, init, custom_head, concat_pool, pool, lin_ftrs, ps, first_bn, bn_final, lin_first, y_range)
    171 else:
    172     model = arch(pretrained=pretrained)
--> 173 body = create_body(model, n_in, pretrained, ifnone(cut, meta['cut']))
    174 nf = num_features_model(nn.Sequential(*body.children())) if custom_head is None else None
    175 return add_head(body, nf, n_out, init=init, head=custom_head, concat_pool=concat_pool, pool=pool,
    176                 lin_ftrs=lin_ftrs, ps=ps, first_bn=first_bn, bn_final=bn_final, lin_first=lin_first, y_range=y_range)

File c:\ProgramData\miniforge3\envs\finetuning\Lib\site-packages\fastai\vision\learner.py:84, in create_body(model, n_in, pretrained, cut)
     82 if cut is None:
     83     ll = list(enumerate(model.children()))
---> 84     cut = next(i for i,o in reversed(ll) if has_pool_type(o))
     85 return cut_model(model, cut)

StopIteration: