Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`google/flan-t5-xl`](https://huggingface.co/google/flan-t5-xl) 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)!
@@ -2,20 +2,54 @@
|
|
2 |
license: apache-2.0
|
3 |
tags:
|
4 |
- generated_from_keras_callback
|
5 |
-
model-index:
|
6 |
-
- name: QAll-Flan-xl
|
7 |
-
results: []
|
8 |
pipeline_tag: text2text-generation
|
9 |
widget:
|
10 |
-
- text:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
11 |
example_title: Question Answering
|
12 |
-
- text:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
13 |
example_title: Question Generation
|
14 |
-
- text:
|
|
|
|
|
|
|
|
|
|
|
|
|
15 |
example_title: Question Complexity
|
16 |
-
- text:
|
17 |
-
|
18 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
19 |
---
|
20 |
|
21 |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
|
|
|
2 |
license: apache-2.0
|
3 |
tags:
|
4 |
- generated_from_keras_callback
|
|
|
|
|
|
|
5 |
pipeline_tag: text2text-generation
|
6 |
widget:
|
7 |
+
- text: 'Answer the question based on the context.
|
8 |
+
|
9 |
+
Context: The Review of Politics was founded in 1939 by Gurian, modeled after German
|
10 |
+
Catholic journals. It quickly emerged as part of an international Catholic intellectual
|
11 |
+
revival, offering an alternative vision to positivist philosophy. For 44 years,
|
12 |
+
the Review was edited by Gurian, Matthew Fitzsimons, Frederick Crosson, and Thomas
|
13 |
+
Stritch. Intellectual leaders included Gurian, Jacques Maritain, Frank O''Malley,
|
14 |
+
Leo Richard Ward, F. A. Hermens, and John U. Nef. It became a major forum for
|
15 |
+
political ideas and modern political concerns, especially from a Catholic and
|
16 |
+
scholastic tradition.
|
17 |
+
|
18 |
+
Question: Who was the last editor of the Review of Political Science?'
|
19 |
example_title: Question Answering
|
20 |
+
- text: 'Generate a question based on the context and the answer.
|
21 |
+
|
22 |
+
Context: The Review of Politics was founded in 1939 by Gurian, modeled after German
|
23 |
+
Catholic journals. It quickly emerged as part of an international Catholic intellectual
|
24 |
+
revival, offering an alternative vision to positivist philosophy. For 44 years,
|
25 |
+
the Review was edited by Gurian, Matthew Fitzsimons, Frederick Crosson, and Thomas
|
26 |
+
Stritch. Intellectual leaders included Gurian, Jacques Maritain, Frank O''Malley,
|
27 |
+
Leo Richard Ward, F. A. Hermens, and John U. Nef. It became a major forum for
|
28 |
+
political ideas and modern political concerns, especially from a Catholic and
|
29 |
+
scholastic tradition.
|
30 |
+
|
31 |
+
Answer: Thomas Stritch'
|
32 |
example_title: Question Generation
|
33 |
+
- text: 'Classify the complexity of the following question based on the text as either
|
34 |
+
deep or shallow.
|
35 |
+
|
36 |
+
Text: Many people who live in California are very concerned about the earth. They
|
37 |
+
are worried that the earth is warming too much.
|
38 |
+
|
39 |
+
Question: How can people in California and outside of California prevent warming?'
|
40 |
example_title: Question Complexity
|
41 |
+
- text: 'Classify the complexity of the following question based on the text as either
|
42 |
+
deep or shallow.
|
43 |
|
44 |
+
Text: Many people who live in California are very concerned about the earth. They
|
45 |
+
are worried that the earth is warming too much.
|
46 |
+
|
47 |
+
Question: What does it mean to warm the earth too much?'
|
48 |
+
example_title: Question Category
|
49 |
+
base_model: google/flan-t5-xl
|
50 |
+
model-index:
|
51 |
+
- name: QAll-Flan-xl
|
52 |
+
results: []
|
53 |
---
|
54 |
|
55 |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
|