Instructions to use Mimi1782/NAIVEBAYERN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Asteroid
How to use Mimi1782/NAIVEBAYERN with Asteroid:
from asteroid.models import BaseModel model = BaseModel.from_pretrained("Mimi1782/NAIVEBAYERN") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,17 +1,16 @@
|
|
| 1 |
---
|
| 2 |
license: gpl
|
| 3 |
datasets:
|
| 4 |
-
-
|
| 5 |
language:
|
| 6 |
-
-
|
| 7 |
-
- gn
|
| 8 |
metrics:
|
| 9 |
-
-
|
| 10 |
base_model:
|
| 11 |
-
-
|
| 12 |
-
new_version:
|
| 13 |
-
pipeline_tag:
|
| 14 |
-
library_name:
|
| 15 |
tags:
|
| 16 |
-
-
|
| 17 |
---
|
|
|
|
| 1 |
---
|
| 2 |
license: gpl
|
| 3 |
datasets:
|
| 4 |
+
- facebook/action100m-preview
|
| 5 |
language:
|
| 6 |
+
- lu
|
|
|
|
| 7 |
metrics:
|
| 8 |
+
- brier_score
|
| 9 |
base_model:
|
| 10 |
+
- bartowski/moonshotai_Kimi-K2-Thinking-GGUF
|
| 11 |
+
new_version: Lightricks/LTX-2
|
| 12 |
+
pipeline_tag: automatic-speech-recognition
|
| 13 |
+
library_name: asteroid
|
| 14 |
tags:
|
| 15 |
+
- music
|
| 16 |
---
|