Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`facebook/opt-350m`](https://huggingface.co/facebook/opt-350m) 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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- auto-complete
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datasets:
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- aeslc
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widget:
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- text:
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example_title:
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inference:
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parameters:
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min_length: 4
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max_length: 64
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length_penalty: 0.7
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no_repeat_ngram_size: 3
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do_sample:
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num_beams: 4
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early_stopping:
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repetition_penalty: 3.5
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---
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- auto-complete
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datasets:
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- aeslc
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widget:
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- text: 'Hey <NAME>,
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Thank you for signing up for my weekly newsletter. Before we get started, you''ll
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have to confirm your email address.'
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example_title: newsletter
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- text: 'Hi <NAME>,
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I hope this email finds you well. Let me start by saying that I am a big fan of
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your work.'
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example_title: fan
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I hope you had a splendid evening at the Company sausage eating festival. I am
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reaching out because'
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example_title: festival
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I was just thinking to myself about how much I love creating value'
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example_title: value
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- text: URGENT - I need
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example_title: URGENT
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inference:
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parameters:
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min_length: 4
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max_length: 64
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length_penalty: 0.7
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no_repeat_ngram_size: 3
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do_sample: false
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num_beams: 4
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early_stopping: true
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repetition_penalty: 3.5
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base_model: facebook/opt-350m
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---
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