So, fairly basic question here. If I want to just do a raw prediction using the model input on a tensor, I should be able to do the following yes? (on a tabular model):

```
input = data.train_ds.x[0].data
learn.model(input[0], input[1])
```

But I get an error saying there’s too many indices for my embeddings… thoughts? Did I miss something?

```
/usr/local/lib/python3.6/dist-packages/fastai/tabular/models.py in <listcomp>(.0)
29 def forward(self, x_cat:Tensor, x_cont:Tensor) -> Tensor:
30 if self.n_emb != 0:
---> 31 x = [e(x_cat[:,i]) for i,e in enumerate(self.embeds)]
32 x = torch.cat(x, 1)
33 x = self.emb_drop(x)
IndexError: too many indices for tensor of dimension 1
```