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Librarian Bot: Add base_model information to model

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This pull request aims to enrich the metadata of your model by adding [`google/vit-base-patch16-224`](https://huggingface.co/google/vit-base-patch16-224) 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).

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)!

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  1. README.md +11 -12
README.md CHANGED
@@ -1,23 +1,27 @@
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  ---
 
 
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  license: apache-2.0
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  tags:
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  - image-classification
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  - generated_from_trainer
 
 
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  metrics:
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  - accuracy
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  widget:
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- - src: >-
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- https://datasets-server.huggingface.co/assets/keremberke/pokemon-classification/--/full/train/3/image/image.jpg
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  example_title: Abra
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- - src: >-
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- https://datasets-server.huggingface.co/cached-assets/keremberke/pokemon-classification/--/full/train/383/image/image.jpg
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  example_title: Blastoise
 
 
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  model-index:
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  - name: pokemon_classifier
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  results:
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  - task:
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- name: Image Classification
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  type: image-classification
 
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  dataset:
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  name: keremberke/pokemon-classification
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  type: pokemon-classification
@@ -25,14 +29,9 @@ model-index:
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  split: validation
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  args: full
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  metrics:
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- - name: Accuracy
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- type: accuracy
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  value: 0.08848920863309352
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- datasets:
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- - keremberke/pokemon-classification
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- language:
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- - en
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- pipeline_tag: image-classification
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  ---
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+ language:
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+ - en
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  license: apache-2.0
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  tags:
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  - image-classification
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  - generated_from_trainer
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+ datasets:
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+ - keremberke/pokemon-classification
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  metrics:
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  - accuracy
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  widget:
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+ - src: https://datasets-server.huggingface.co/assets/keremberke/pokemon-classification/--/full/train/3/image/image.jpg
 
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  example_title: Abra
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+ - src: https://datasets-server.huggingface.co/cached-assets/keremberke/pokemon-classification/--/full/train/383/image/image.jpg
 
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  example_title: Blastoise
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+ pipeline_tag: image-classification
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+ base_model: google/vit-base-patch16-224
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  model-index:
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  - name: pokemon_classifier
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  results:
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  - task:
 
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  type: image-classification
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+ name: Image Classification
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  dataset:
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  name: keremberke/pokemon-classification
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  type: pokemon-classification
 
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  split: validation
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  args: full
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  metrics:
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+ - type: accuracy
 
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  value: 0.08848920863309352
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+ name: Accuracy
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You