Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`t5-base`](https://huggingface.co/t5-base) 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!
@@ -4,11 +4,18 @@ license: apache-2.0
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tags:
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- generated_from_trainer
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- t5-base
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model-index:
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- name: cover-letter-t5-base
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results: []
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widget:
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- text: "coverletter name: Nouamane Tazi job: Machine Learning Engineer at HuggingFace background: Master's student in AI at the University of Paris Saclay experiences: I participated in the Digital Tech Year program, developing three minimal valuable products for three companies in a 7-week constraint. I also spent 1 year as a machine learning engineer for Flashbrand where I mainly worked on their chatbot . And I recently completed the HuggingFace course, where I built an amazing huggingface space. I am a strong team player."
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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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tags:
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- generated_from_trainer
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- t5-base
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widget:
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- text: 'coverletter name: Nouamane Tazi job: Machine Learning Engineer at HuggingFace
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background: Master''s student in AI at the University of Paris Saclay experiences:
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I participated in the Digital Tech Year program, developing three minimal valuable
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products for three companies in a 7-week constraint. I also spent 1 year as a
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machine learning engineer for Flashbrand where I mainly worked on their chatbot
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. And I recently completed the HuggingFace course, where I built an amazing huggingface
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space. I am a strong team player.'
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base_model: t5-base
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model-index:
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- name: cover-letter-t5-base
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results: []
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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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