Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`google/vit-base-patch16-224-in21k`](https://huggingface.co/google/vit-base-patch16-224-in21k) as a `base_model` field, situated in the `YAML` block of your model's `README.md`.

How did we find this information? We performed a regular expression match on your `README.md` file to determine the connection.

**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). Your input is invaluable to us!

README.md

@@ -7,12 +7,14 @@ datasets:
 - keremberke/chest-xray-classification
 metrics:
 - accuracy
+pipeline_tag: image-classification
+base_model: google/vit-base-patch16-224-in21k
 model-index:
 - name: vit-xray-pneumonia-classification
   results:
   - task:
-      name: Image Classification
       type: image-classification
+      name: Image Classification
     dataset:
       name: chest-xray-classification
       type: chest-xray-classification
@@ -20,10 +22,9 @@ model-index:
       split: validation
       args: full
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 0.9742489270386266
-pipeline_tag: image-classification
+      name: Accuracy
 ---
 
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