librarian-bot commited on
Commit
99c96e9
·
1 Parent(s): da3382f

Librarian Bot: Add base_model information to model

Browse files

This pull request aims to enrich the metadata of your model by adding [`EleutherAI/gpt-neo-125M`](https://huggingface.co/EleutherAI/gpt-neo-125M) 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)!

Files changed (1) hide show
  1. README.md +13 -12
README.md CHANGED
@@ -4,26 +4,27 @@ tags:
4
  - generated_from_trainer
5
  datasets:
6
  - Gustavosta/Stable-Diffusion-Prompts
7
- model-index:
8
- - name: gpt-neo-125M-magicprompt-SD
9
- results: []
10
  widget:
11
- - text: "morning sun over Jakarta"
12
- example_title: "morning sun"
13
- - text: "WARNING: pip is"
14
- example_title: "pip"
15
- - text: "sentient cheese"
16
- example_title: "sentient cheese"
17
- - text: "cheeps are"
18
- example_title: "cheeps"
19
  parameters:
20
  min_length: 32
21
  max_length: 64
22
  no_repeat_ngram_size: 1
23
- do_sample: True
24
  top_k: 50
25
  top_p: 0.95
26
  repetition_penalty: 5.5
 
 
 
 
27
  ---
28
 
29
  # gpt-neo-125M-magicprompt-SD
 
4
  - generated_from_trainer
5
  datasets:
6
  - Gustavosta/Stable-Diffusion-Prompts
 
 
 
7
  widget:
8
+ - text: morning sun over Jakarta
9
+ example_title: morning sun
10
+ - text: 'WARNING: pip is'
11
+ example_title: pip
12
+ - text: sentient cheese
13
+ example_title: sentient cheese
14
+ - text: cheeps are
15
+ example_title: cheeps
16
  parameters:
17
  min_length: 32
18
  max_length: 64
19
  no_repeat_ngram_size: 1
20
+ do_sample: true
21
  top_k: 50
22
  top_p: 0.95
23
  repetition_penalty: 5.5
24
+ base_model: EleutherAI/gpt-neo-125M
25
+ model-index:
26
+ - name: gpt-neo-125M-magicprompt-SD
27
+ results: []
28
  ---
29
 
30
  # gpt-neo-125M-magicprompt-SD