Update README.md

README.md

@@ -9,14 +9,45 @@ tags:
 - unsloth
 - llama
 - trl
+datasets:
+- Wajdi1976/Tunisian_Derja_Dataset
+library_name: transformers
 ---
+## Model Overview
 
+Labess is an open models instruction-tuned for Tunisian Derja, it's a continual pre-training version of jais-adapted-7b-chat with tunisian_Derja_Dataset
 # Uploaded  model
 
-- **Developed by:** Wajdi1976
+- **Developed by:** Linagora
 - **License:** apache-2.0
-- **Finetuned from model :** inceptionai/jais-adapted-7b-chat
+- **Finetuned from model :** inceptionai/jais-adapted-7b-chat  
+## Usage
+Below we share some code snippets on how to get quickly started with running the model. First, install the Transformers library with:
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+```sh
+pip install transformers
+```
+# Usage
+```python
+import torch
+from transformers import pipeline
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+pipe = pipeline(
+    "text-generation",
+    model="Wajdi1976/jais_arabic_tunisien_derija",
+    model_kwargs={"torch_dtype": torch.bfloat16},    
+    device="cuda" # replace with "mps" to run on a Mac device
+)
+
+messages = [
+    {"role": "user", "content": 'وين تجي تونس؟'},
+]
+
+outputs = pipe(messages, max_new_tokens=64, temperature=0.0)
+assistant_response = outputs[0]["generated_text"][-1]["content"].strip()
+print(assistant_response)
+```
+
+
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)