Update README.md

README.md

@@ -26,8 +26,8 @@ Model | #Params | d_model | layers | lm loss uniref-100
 Instantiate a model like so:
 
     from transformers import AutoModel, AutoModelForCausalLM
-    model = AutoModelForCausalLM.from_pretrained("Seledorn/RITA_m, trust_remote_code=True")
-    tokenizer = AutoTokenizer.from_pretrained("Seledorn/RITA_m")
+    model = AutoModelForCausalLM.from_pretrained("lightonai/RITA_m, trust_remote_code=True")
+    tokenizer = AutoTokenizer.from_pretrained("lightonai/RITA_m")
 
 for generation use we support pipelines:
    
@@ -36,4 +36,3 @@ for generation use we support pipelines:
     sequences = rita_gen("MAB", max_length=20, do_sample=True, top_k=950, repetition_penalty=1.2, num_return_sequences=2, eos_token_id=2)
     for seq in sequences:
         print(f"seq: {seq['generated_text'].replace(' ', '')}")
-