Instructions to use lflo14/super-cool-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use lflo14/super-cool-model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://lflo14/super-cool-model") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
datasets:
|
| 4 |
+
- OpenAssistant/oasst1
|
| 5 |
+
- fka/awesome-chatgpt-prompts
|
| 6 |
+
language:
|
| 7 |
+
- en
|
| 8 |
+
metrics:
|
| 9 |
+
- code_eval
|
| 10 |
+
- bertscore
|
| 11 |
+
- accuracy
|
| 12 |
+
library_name: keras
|
| 13 |
+
---
|