Update README.md

README.md

@@ -77,15 +77,16 @@ MIRA is licensed under apache-2.0. Please refer to the LICENSE file for more det
 
 To Load this model using unsloth
 
-``` from unsloth import FastLanguageModel
-    model, tokenizer = FastLanguageModel.from_pretrained(
-        model_name = "Msp/mira-1.0", # YOUR MODEL YOU USED FOR TRAINING
-        max_seq_length = 4096,
-        dtype = None,
-        load_in_4bit = True,
-        #token="hf.."
-    )
-    FastLanguageModel.for_inference(model) # Enable native 2x faster inference
+```
+from unsloth import FastLanguageModel
+model, tokenizer = FastLanguageModel.from_pretrained(
+    model_name = "Msp/mira-1.0", # YOUR MODEL YOU USED FOR TRAINING
+    max_seq_length = 4096,
+    dtype = None,
+    load_in_4bit = True,
+    #token="hf.."
+)
+FastLanguageModel.for_inference(model) # Enable native 2x faster inference
 
 alpaca_prompt = """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
 
@@ -100,11 +101,11 @@ alpaca_prompt = """Below is an instruction that describes a task, paired with an
 
 inputs = tokenizer(
 [
-    alpaca_prompt.format(
-        "your name is mira", # instruction
-        "whats your name", # input
-        "", # output - leave this blank for generation!
-    )
+alpaca_prompt.format(
+    "your name is mira", # instruction
+    "whats your name", # input
+    "", # output - leave this blank for generation!
+)
 ], return_tensors = "pt").to("cuda")
 
 from transformers import TextStreamer