Added Embedding layer and Embedding RNN Layer node.

docs/reference/sp_encode.md

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+# Sp Encode
+SentencePiece wrapper for encoding text into token ID tensors.
+
+    Args:  
+        spmodel (SentencePieceProcessor): Trained SentencePiece model.  
+        padding (bool): Whether to pad sequences to equal length.  
+        padding_method (str): 'longest' or 'max_length'.  
+            - 'longest': pad to the longest sequence length after truncation in this batch.  
+            - 'max_length': pad all sequences to the fixed length `max_length`.  
+        padding_value (Union[int, torch.Tensor]): A scalar value or scalar tensor used for padding.  
+        truncation (bool): Whether to truncate sequences to `max_length`.  
+        max_length (int): The target length for truncation or padding.  
+
+    Returns:  
+        PTCALLABLE: A tuple containing a callable that accepts a sentence or list of
+        sentences and returns token ID tensor(s) and attention mask(s).
+
+## Input
+| Name | Data type |
+|---|---|
+| spmodel | Spmodel |
+| padding | Boolean |
+| padding_method |  |
+| padding_value | Int |
+| truncation | Boolean |
+| max_length | Int |
+
+## Output
+| Data type |
+|---|
+| Ptcallable |
+
+<HR>
+Category: PyTorch wrapper - Training
+
+ComfyUI Pt Wrapper Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.