Update README.md

README.md

@@ -9,13 +9,13 @@ pipeline_tag: text-generation
 tags:
 - finance
 ---
-# Meta_LLama3_Arabic
+# Meta-LLama3-Instruct-Arabic
 
-**Meta_LLama3_Arabic** is a fine-tuned version of Meta's LLaMa model, specialized for Arabic language tasks. This model has been designed for a variety of NLP tasks including text generation,and language comprehension in Arabic.
+**Meta-LLama3-Instruct-Arabic** is a fine-tuned version of Meta's LLaMa model, specialized for Arabic language tasks. This model has been designed for a variety of NLP tasks including text generation,and language comprehension in Arabic.
 
 ## Model Details
 
-- **Model Name**: Meta_LLama3_Arabic
+- **Model Name**: Meta-LLama3-Instruct-Arabic
 - **Base Model**: LLaMa
 - **Languages**: Arabic
 - **Tasks**: Text Generation,Language Understanding
@@ -37,8 +37,8 @@ from IPython.display import Markdown
 import textwrap 
 
 # Load tokenizer and model
-tokenizer = AutoTokenizer.from_pretrained("MahmoudIbrahim/Meta_LLama3_Arabic")
-model = AutoModelForCausalLM.from_pretrained("MahmoudIbrahim/Meta_LLama3_Arabic",load_in_4bit =True)
+tokenizer = AutoTokenizer.from_pretrained("MahmoudIbrahim/Meta-LLama3-Instruct-Arabic")
+model = AutoModelForCausalLM.from_pretrained("MahmoudIbrahim/Meta-LLama3-Instruct-Arabic",load_in_4bit =True)
 
 
 alpaca_prompt = """فيما يلي تعليمات تصف مهمة، إلى جانب مدخل يوفر سياقاً إضافياً. اكتب استجابة تُكمل الطلب بشكل مناسب.