librarian-bot commited on
Commit
979ae31
1 Parent(s): 943d330

Librarian Bot: Add base_model information to model

Browse files

This pull request aims to enrich the metadata of your model by adding [`ernie-2.0-en`](https://huggingface.co/ernie-2.0-en) 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 +4 -3
README.md CHANGED
@@ -7,19 +7,20 @@ datasets:
7
  - custom-phm-tweets
8
  metrics:
9
  - accuracy
 
10
  model-index:
11
  - name: ernie-phmtweets-sutd
12
  results:
13
  - task:
14
- name: Text Classification
15
  type: text-classification
 
16
  dataset:
17
  name: custom-phm-tweets
18
  type: labelled
19
  metrics:
20
- - name: Accuracy
21
- type: accuracy
22
  value: 0.885
 
23
  ---
24
 
25
  # ernie-phmtweets-sutd
 
7
  - custom-phm-tweets
8
  metrics:
9
  - accuracy
10
+ base_model: ernie-2.0-en
11
  model-index:
12
  - name: ernie-phmtweets-sutd
13
  results:
14
  - task:
 
15
  type: text-classification
16
+ name: Text Classification
17
  dataset:
18
  name: custom-phm-tweets
19
  type: labelled
20
  metrics:
21
+ - type: accuracy
 
22
  value: 0.885
23
+ name: Accuracy
24
  ---
25
 
26
  # ernie-phmtweets-sutd