fix: ensure label_indices uses correct device and dtype

Co-authored-by: meilame-tayebjee <114609737+meilame-tayebjee@users.noreply.github.com>

Author: Copilot

.gitignore

@@ -183,3 +183,4 @@ example_files/
 _site/
 .quarto/
 **/*.quarto_ipynb
+my_ttc/

torchTextClassifiers/model/components/text_embedder.py

@@ -324,7 +324,9 @@ def forward(self, token_embeddings, compute_attention_matrix: Optional[bool] = F
         compute_attention_matrix = bool(compute_attention_matrix)
 
         # 1. Create label indices [0, 1, ..., C-1] for the whole batch
-        label_indices = torch.arange(self.num_classes).expand(B, -1)
+        label_indices = torch.arange(
+            self.num_classes, dtype=torch.long, device=token_embeddings.device
+        ).expand(B, -1)
 
         all_label_embeddings = self.label_embeds(
             label_indices