Instructions to use eltorio/Llama-3.2-3B-appreciation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eltorio/Llama-3.2-3B-appreciation with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3.2-3b-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "eltorio/Llama-3.2-3B-appreciation") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -4,6 +4,8 @@ language:
|
|
| 4 |
- fr
|
| 5 |
base_model:
|
| 6 |
- unsloth/Llama-3.2-3B-Instruct
|
|
|
|
|
|
|
| 7 |
---
|
| 8 |
# Une intelligence artificielle pour écrire des appréciations
|
| 9 |
|
|
|
|
| 4 |
- fr
|
| 5 |
base_model:
|
| 6 |
- unsloth/Llama-3.2-3B-Instruct
|
| 7 |
+
datasets:
|
| 8 |
+
- eltorio/appreciation
|
| 9 |
---
|
| 10 |
# Une intelligence artificielle pour écrire des appréciations
|
| 11 |
|