Instructions to use jimmykis/unicornbanshee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Asteroid
How to use jimmykis/unicornbanshee with Asteroid:
from asteroid.models import BaseModel model = BaseModel.from_pretrained("jimmykis/unicornbanshee") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -2,4 +2,15 @@
|
|
| 2 |
license: openrail
|
| 3 |
tags:
|
| 4 |
- chemistry
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
---
|
|
|
|
| 2 |
license: openrail
|
| 3 |
tags:
|
| 4 |
- chemistry
|
| 5 |
+
datasets:
|
| 6 |
+
- MiniMaxAI/OctoCodingBench
|
| 7 |
+
language:
|
| 8 |
+
- ak
|
| 9 |
+
metrics:
|
| 10 |
+
- bertscore
|
| 11 |
+
base_model:
|
| 12 |
+
- zai-org/GLM-4.7-Flash
|
| 13 |
+
new_version: zai-org/GLM-4.7-Flash
|
| 14 |
+
pipeline_tag: text-to-speech
|
| 15 |
+
library_name: asteroid
|
| 16 |
---
|