Fix: "cut" parameter not passed to vision_learner

fastai/vision/learner.py

@@ -225,7 +225,7 @@ def vision_learner(dls, arch, normalize=True, n_out=None, pretrained=True, weigh
     if n_out is None: n_out = get_c(dls)
     assert n_out, "`n_out` is not defined, and could not be inferred from data, set `dls.c` or pass `n_out`"
     meta = model_meta.get(arch, _default_meta)
-    model_args = dict(init=init, custom_head=custom_head, concat_pool=concat_pool, pool=pool, lin_ftrs=lin_ftrs, ps=ps,
+    model_args = dict(cut=cut, init=init, custom_head=custom_head, concat_pool=concat_pool, pool=pool, lin_ftrs=lin_ftrs, ps=ps,
                       first_bn=first_bn, bn_final=bn_final, lin_first=lin_first, y_range=y_range, **kwargs)
     n_in = kwargs['n_in'] if 'n_in' in kwargs else 3
     if isinstance(arch, str):