Update README.md

README.md

@@ -72,16 +72,6 @@ ProtT5-XL-UniRef50 is part of the **ProtTrans** family of models developed by **
   - Rare or undetermined amino acids `"U, Z, O, B"` are mapped to `"X"`.   
   - Tokenization: spaces are inserted between amino acids, and special tokens are added.  
 
-### Output
-
-- **Description:** Each amino acid is represented by a 1024-dimensional vector.  
-- **Output format:** tensor
-  - **Shape:** `[n, max_seq_len, 1024]` with `max_seq_len` the longest sequences (max of `m`)
-  - **Data format:** *(float)*
-- **Postprocessing:**
-  - Per-protein embeddings are obtained by averaging the residue embeddings across the sequence.  
-  - Averaged embedding size: `[n, 1024]`
-
 ### Model
 
 - **Modality:** Protein sequences  
@@ -92,7 +82,16 @@ ProtT5-XL-UniRef50 is part of the **ProtTrans** family of models developed by **
   - Embeddings capture biophysical and structural information such as secondary structure, localization, and membrane properties.
 - **Training data:**  
   - Pretrained on **UniRef50**, a non-redundant dataset of ~45 million protein sequences.  
-- **Publication:** [https://ieeexplore.ieee.org/document/9477085](https://ieeexplore.ieee.org/document/9477085)
+
+### Output
+
+- **Description:** Each amino acid is represented by a 1024-dimensional vector.  
+- **Output format:** tensor
+  - **Shape:** `[n, max_seq_len, 1024]` with `max_seq_len` the longest sequences (max of `m`)
+  - **Data format:** *(float)*
+- **Postprocessing:**
+  - Per-protein embeddings are obtained by averaging the residue embeddings across the sequence.  
+  - Averaged embedding size: `[n, 1024]`
 
 ## Installation