Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`facebook/wav2vec2-conformer-rel-pos-large`](https://huggingface.co/facebook/wav2vec2-conformer-rel-pos-large) 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!
@@ -1,21 +1,22 @@
|
|
1 |
---
|
2 |
-
license: apache-2.0
|
3 |
language: en
|
|
|
4 |
tags:
|
5 |
- generated_from_trainer
|
6 |
datasets:
|
7 |
- speech_commands
|
8 |
metrics:
|
9 |
- accuracy
|
|
|
10 |
model-index:
|
11 |
- name: wav2vec2-conformer-rel-pos-large-finetuned-speech-commands
|
12 |
results:
|
13 |
- task:
|
14 |
-
|
15 |
-
|
16 |
-
dataset:
|
17 |
-
type: speech_commands
|
18 |
name: speech_commands
|
|
|
19 |
split: v0.02
|
20 |
metrics:
|
21 |
- type: accuracy
|
|
|
1 |
---
|
|
|
2 |
language: en
|
3 |
+
license: apache-2.0
|
4 |
tags:
|
5 |
- generated_from_trainer
|
6 |
datasets:
|
7 |
- speech_commands
|
8 |
metrics:
|
9 |
- accuracy
|
10 |
+
base_model: facebook/wav2vec2-conformer-rel-pos-large
|
11 |
model-index:
|
12 |
- name: wav2vec2-conformer-rel-pos-large-finetuned-speech-commands
|
13 |
results:
|
14 |
- task:
|
15 |
+
type: audio-classification
|
16 |
+
name: audio classification
|
17 |
+
dataset:
|
|
|
18 |
name: speech_commands
|
19 |
+
type: speech_commands
|
20 |
split: v0.02
|
21 |
metrics:
|
22 |
- type: accuracy
|