librarian-bot commited on
Commit
0caea32
1 Parent(s): 32ac4a6

Librarian Bot: Add base_model information to model

Browse files

This pull request aims to enrich the metadata of your model by adding [`microsoft/beit-base-patch16-224-pt22k-ft22k`](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) 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
@@ -6,12 +6,13 @@ datasets:
6
  - imagefolder
7
  metrics:
8
  - accuracy
 
9
  model-index:
10
  - name: weeds_hfclass12
11
  results:
12
  - task:
13
- name: Image Classification
14
  type: image-classification
 
15
  dataset:
16
  name: imagefolder
17
  type: imagefolder
@@ -19,9 +20,9 @@ model-index:
19
  split: test
20
  args: default
21
  metrics:
22
- - name: Accuracy
23
- type: accuracy
24
  value: 0.96
 
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
6
  - imagefolder
7
  metrics:
8
  - accuracy
9
+ base_model: microsoft/beit-base-patch16-224-pt22k-ft22k
10
  model-index:
11
  - name: weeds_hfclass12
12
  results:
13
  - task:
 
14
  type: image-classification
15
+ name: Image Classification
16
  dataset:
17
  name: imagefolder
18
  type: imagefolder
 
20
  split: test
21
  args: default
22
  metrics:
23
+ - type: accuracy
 
24
  value: 0.96
25
+ name: Accuracy
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You