Instructions to use Raj4567/Rajphp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Raj4567/Rajphp with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Raj4567/Rajphp", set_active=True) - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,15 +1 @@
|
|
| 1 |
-
|
| 2 |
-
license: apache-2.0
|
| 3 |
-
datasets:
|
| 4 |
-
- fka/awesome-chatgpt-prompts
|
| 5 |
-
language:
|
| 6 |
-
- en
|
| 7 |
-
metrics:
|
| 8 |
-
- accuracy
|
| 9 |
-
base_model:
|
| 10 |
-
- black-forest-labs/FLUX.1-dev
|
| 11 |
-
pipeline_tag: text-classification
|
| 12 |
-
library_name: adapter-transformers
|
| 13 |
-
tags:
|
| 14 |
-
- chemistry
|
| 15 |
-
---
|
|
|
|
| 1 |
+
999999999999
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|