Updated AccountName to AssignArc

README.md

@@ -59,7 +59,7 @@ To achieve the intended structured output, use the following prompt format:
 
 ```python
 import mlx_lm
-model, tokenizer = mlx_lm.load("YourAccount/TLF-7B-LLM-01")
+model, tokenizer = mlx_lm.load("assignarc/TLF-7B-LLM-01")
 
 prompt = "Provide a comprehensive morphological breakdown for: 'Abacus'"
 # Use Sarvam/Llama template logic here
@@ -74,7 +74,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 from peft import PeftModel
 
 base_model = AutoModelForCausalLM.from_pretrained("sarvamai/sarvam-1")
-model = PeftModel.from_pretrained(base_model, "YourAccount/TLF-7B-LLM-01")
+model = PeftModel.from_pretrained(base_model, "assignarc/TLF-7B-LLM-01")
 tokenizer = AutoTokenizer.from_pretrained("sarvamai/sarvam-1")
 
 inputs = tokenizer(prompt, return_tensors="pt")