Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`mrm8488/distilroberta-finetuned-tweets-hate-speech`](https://huggingface.co/mrm8488/distilroberta-finetuned-tweets-hate-speech) 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)!
@@ -1,22 +1,25 @@
|
|
1 |
---
|
|
|
2 |
license: apache-2.0
|
3 |
-
language: "es"
|
4 |
tags:
|
5 |
- generated_from_trainer
|
6 |
- es
|
7 |
- text-classification
|
8 |
- acoso
|
9 |
- twitter
|
10 |
-
- cyberbullying
|
11 |
datasets:
|
12 |
- hackathon-pln-es/Dataset-Acoso-Twitter-Es
|
13 |
-
widget:
|
14 |
-
- text: "Que horrible como la farándula chilena siempre se encargaba de dejar mal a las mujeres. Un asco"
|
15 |
-
- text: "Hay que ser bien menestra para amenazar a una mujer con una llave de ruedas. Viendo como se viste no me queda ninguna duda"
|
16 |
-
- text: "más centrados en tener una sociedad reprimida y sumisa que en estudiar y elaborar políticas de protección hacia las personas de mayor riesgo ante el virus."
|
17 |
-
|
18 |
metrics:
|
19 |
- accuracy
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
20 |
model-index:
|
21 |
- name: Detección de acoso en Twitter
|
22 |
results: []
|
|
|
1 |
---
|
2 |
+
language: es
|
3 |
license: apache-2.0
|
|
|
4 |
tags:
|
5 |
- generated_from_trainer
|
6 |
- es
|
7 |
- text-classification
|
8 |
- acoso
|
9 |
- twitter
|
10 |
+
- cyberbullying
|
11 |
datasets:
|
12 |
- hackathon-pln-es/Dataset-Acoso-Twitter-Es
|
|
|
|
|
|
|
|
|
|
|
13 |
metrics:
|
14 |
- accuracy
|
15 |
+
widget:
|
16 |
+
- text: Que horrible como la farándula chilena siempre se encargaba de dejar mal a
|
17 |
+
las mujeres. Un asco
|
18 |
+
- text: Hay que ser bien menestra para amenazar a una mujer con una llave de ruedas.
|
19 |
+
Viendo como se viste no me queda ninguna duda
|
20 |
+
- text: más centrados en tener una sociedad reprimida y sumisa que en estudiar y elaborar
|
21 |
+
políticas de protección hacia las personas de mayor riesgo ante el virus.
|
22 |
+
base_model: mrm8488/distilroberta-finetuned-tweets-hate-speech
|
23 |
model-index:
|
24 |
- name: Detección de acoso en Twitter
|
25 |
results: []
|