Update example model/adapter paths to dsfsi namespace

README.md

@@ -18,7 +18,7 @@ pipeline_tag: translation
 
 # gemma_2_9b_it-lora-r4-amh-eng
 
-[![Model on HF](https://huggingface.co/datasets/huggingface/badges/raw/main/model-on-hf-sm.svg)](https://huggingface.co/AfriScience-MT/gemma_2_9b_it-lora-r4-amh-eng)
+[![Model on HF](https://huggingface.co/datasets/huggingface/badges/raw/main/model-on-hf-sm.svg)](https://huggingface.co/dsfsi/gemma_2_9b_it-lora-r4-amh-eng)
 
 This is a **LoRA adapter** for the AfriScience-MT project, enabling efficient scientific machine translation for African languages.
 
@@ -77,7 +77,7 @@ base_model = AutoModelForCausalLM.from_pretrained(
 tokenizer = AutoTokenizer.from_pretrained("google/gemma-2-9b-it")
 
 # Load LoRA adapter
-adapter_name = "AfriScience-MT/gemma_2_9b_it-lora-r4-amh-eng"
+adapter_name = "dsfsi/gemma_2_9b_it-lora-r4-amh-eng"
 model = PeftModel.from_pretrained(base_model, adapter_name)
 model.eval()
 
@@ -115,7 +115,7 @@ base_model = AutoModelForCausalLM.from_pretrained(
     device_map="auto",
     torch_dtype=torch.bfloat16,
 )
-model = PeftModel.from_pretrained(base_model, "AfriScience-MT/gemma_2_9b_it-lora-r4-amh-eng")
+model = PeftModel.from_pretrained(base_model, "dsfsi/gemma_2_9b_it-lora-r4-amh-eng")
 ```
 
 ## Training Details