Add transformers and text-generation metadata

This PR adds the `library_name` and `pipeline_tag` metadata to make the model easier to find on the Hugging Face Hub.

README.md

@@ -1,6 +1,9 @@
 ---
 license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
 ---
+
 # lmarena-ai/p2l-1.5b-grk-01112025
 
 Large language model (LLM) evaluations typically rely on aggregated metrics like accuracy or human preference, averaging across users and prompts. This averaging obscures user- and prompt-specific variations in model performance.
@@ -51,7 +54,7 @@ Note: the P2L model outputs with this structure:
 ```python
 class P2LOutputs(ModelOutput):
     coefs: torch.FloatTensor = None # "betas" as described above
-    eta: Optional[torch.FloatTensor] = None # tie coefficent (also eta above)
+    eta: Optional[torch.FloatTensor = None # tie coefficent (also eta above)
     last_hidden_state: torch.FloatTensor = None # last hidden state from the transformer
 ```