librarian-bot commited on
Commit
d56b144
1 Parent(s): 0094930

Librarian Bot: Add base_model information to model

Browse files

This pull request aims to enrich the metadata of your model by adding [`openai/whisper-small`](https://huggingface.co/openai/whisper-small) 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 +14 -13
README.md CHANGED
@@ -7,21 +7,22 @@ tags:
7
  - generated_from_trainer
8
  datasets:
9
  - google/fleurs
 
10
  model-index:
11
  - name: whisper-small-tamil
12
- results:
13
- - task:
14
- name: Automatic Speech Recognition
15
- type: automatic-speech-recognition
16
- dataset:
17
- name: google/fleurs
18
- config: ta_in
19
- split: test
20
- type: google/fleurs
21
- metrics:
22
- - name: Wer
23
- type: wer
24
- value: 23.1257
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
7
  - generated_from_trainer
8
  datasets:
9
  - google/fleurs
10
+ base_model: openai/whisper-small
11
  model-index:
12
  - name: whisper-small-tamil
13
+ results:
14
+ - task:
15
+ type: automatic-speech-recognition
16
+ name: Automatic Speech Recognition
17
+ dataset:
18
+ name: google/fleurs
19
+ type: google/fleurs
20
+ config: ta_in
21
+ split: test
22
+ metrics:
23
+ - type: wer
24
+ value: 23.1257
25
+ name: Wer
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You