Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`google/mt5-small`](https://huggingface.co/google/mt5-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). Your input is invaluable to us!
@@ -1,16 +1,17 @@
|
|
1 |
---
|
|
|
|
|
2 |
license: apache-2.0
|
3 |
tags:
|
4 |
- generated_from_trainer
|
5 |
- summarization
|
6 |
- nepali
|
|
|
|
|
|
|
7 |
model-index:
|
8 |
- name: mt5-summarize-nepali
|
9 |
results: []
|
10 |
-
language:
|
11 |
-
- ne
|
12 |
-
datasets:
|
13 |
-
- Someman/news_nepali
|
14 |
---
|
15 |
|
16 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- ne
|
4 |
license: apache-2.0
|
5 |
tags:
|
6 |
- generated_from_trainer
|
7 |
- summarization
|
8 |
- nepali
|
9 |
+
datasets:
|
10 |
+
- Someman/news_nepali
|
11 |
+
base_model: google/mt5-small
|
12 |
model-index:
|
13 |
- name: mt5-summarize-nepali
|
14 |
results: []
|
|
|
|
|
|
|
|
|
15 |
---
|
16 |
|
17 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|