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

@@ -1,4 +1,6 @@
 ---
+language:
+- en
 license: apache-2.0
 tags:
 - generated_from_trainer
@@ -9,12 +11,14 @@ metrics:
 - f1
 - recall
 - precision
+pipeline_tag: image-classification
+base_model: google/vit-base-patch16-224-in21k
 model-index:
 - name: vit-base-patch16-224-in21k-weather-images-classification
   results:
   - task:
-      name: Image Classification
       type: image-classification
+      name: Image Classification
     dataset:
       name: imagefolder
       type: imagefolder
@@ -22,12 +26,9 @@ model-index:
       split: train
       args: data
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 0.9339762611275965
-language:
-- en
-pipeline_tag: image-classification
+      name: Accuracy
 ---
 
 # vit-base-patch16-224-in21k-weather-images-classification