Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`facebook/esm2_t12_35M_UR50D`](https://huggingface.co/facebook/esm2_t12_35M_UR50D) as a `base_model` field, situated in the `YAML` block of your model's `README.md`.

How did we find this information? We extracted this infromation from the `adapter_config.json` file of your model.

**Why add this?** Enhancing your model's metadata in this way:
- **Boosts Discoverability** - It becomes straightforward to trace the relationships between various models on the Hugging Face Hub.
- **Highlights Impact** - It showcases the contributions and influences different models have within the community.

For a hands-on example of how such metadata can play a pivotal role in mapping model connections, take a look at [librarian-bots/base_model_explorer](https://huggingface.co/spaces/librarian-bots/base_model_explorer).

This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bot). If you have any feedback, queries, or need assistance, please don't hesitate to reach out to [@davanstrien](https://huggingface.co/davanstrien).

If you want to automatically add `base_model` metadata to more of your modes you can use the [Librarian Bot](https://huggingface.co/librarian-bot) [Metadata Request Service](https://huggingface.co/spaces/librarian-bots/metadata_request_service)!

README.md

@@ -1,10 +1,15 @@
 ---
-library_name: peft
+language:
+- en
 license: mit
+library_name: peft
+tags:
+- ESM-2
+- biology
+- protein language model
+- binding sites
 datasets:
 - AmelieSchreiber/binding_sites_random_split_by_family_550K
-language:
-- en
 metrics:
 - accuracy
 - precision
@@ -13,11 +18,7 @@ metrics:
 - roc_auc
 - matthews_correlation
 pipeline_tag: token-classification
-tags:
-- ESM-2
-- biology
-- protein language model
-- binding sites
+base_model: facebook/esm2_t12_35M_UR50D
 ---
 # ESM-2 for Binding Site Prediction