Librarian Bot: Add base_model information to model
Browse filesThis 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)!
@@ -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 |
-
-
|
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
|