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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 [`bert-base-cased`](https://huggingface.co/bert-base-cased) 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!

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  1. README.md +6 -5
README.md CHANGED
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  ---
 
 
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
@@ -6,11 +8,6 @@ tags:
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  - science
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  datasets:
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  - ncbi_disease
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- model-index:
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- - name: bert-base-cased-finetuned-ner-NCBI_Disease
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- results: []
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- language:
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- - en
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  metrics:
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  - seqeval
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  - f1
@@ -18,6 +15,10 @@ metrics:
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  - accuracy
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  - precision
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  pipeline_tag: token-classification
 
 
 
 
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  ---
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  # bert-base-cased-finetuned-ner-NCBI_Disease
 
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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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  - generated_from_trainer
 
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  - science
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  datasets:
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  - ncbi_disease
 
 
 
 
 
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  metrics:
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  - seqeval
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  - f1
 
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  - accuracy
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  - precision
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  pipeline_tag: token-classification
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+ base_model: bert-base-cased
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+ model-index:
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+ - name: bert-base-cased-finetuned-ner-NCBI_Disease
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+ results: []
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  ---
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  # bert-base-cased-finetuned-ner-NCBI_Disease