Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`dbmdz/distilbert-base-turkish-cased`](https://huggingface.co/dbmdz/distilbert-base-turkish-cased) 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)!
@@ -1,21 +1,22 @@
|
|
1 |
---
|
2 |
language:
|
3 |
- tr
|
|
|
4 |
tags:
|
5 |
- zero-shot-classification
|
6 |
- nli
|
7 |
- pytorch
|
8 |
-
pipeline_tag: zero-shot-classification
|
9 |
-
license: apache-2.0
|
10 |
datasets:
|
11 |
- nli_tr
|
12 |
metrics:
|
13 |
- accuracy
|
|
|
14 |
widget:
|
15 |
-
- text:
|
16 |
-
candidate_labels:
|
17 |
-
- text:
|
18 |
-
candidate_labels:
|
|
|
19 |
---
|
20 |
|
21 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
1 |
---
|
2 |
language:
|
3 |
- tr
|
4 |
+
license: apache-2.0
|
5 |
tags:
|
6 |
- zero-shot-classification
|
7 |
- nli
|
8 |
- pytorch
|
|
|
|
|
9 |
datasets:
|
10 |
- nli_tr
|
11 |
metrics:
|
12 |
- accuracy
|
13 |
+
pipeline_tag: zero-shot-classification
|
14 |
widget:
|
15 |
+
- text: Dolar yükselmeye devam ediyor.
|
16 |
+
candidate_labels: ekonomi, siyaset, spor
|
17 |
+
- text: Senaryo çok saçmaydı, beğendim diyemem.
|
18 |
+
candidate_labels: olumlu, olumsuz
|
19 |
+
base_model: dbmdz/distilbert-base-turkish-cased
|
20 |
---
|
21 |
|
22 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|