Correct typos in usage

README.md

@@ -41,7 +41,7 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
 
 # Load the tokenizer and model
 tokenizer = AutoTokenizer.from_pretrained("cerebras/btlm-3b-8k-base")
-model = AutoModelForCausalLM.from_pretrained("cerebras/-3b-8k-base", trust_remote_code=True, torch_dtype="auto")
+model = AutoModelForCausalLM.from_pretrained("cerebras/btlm-3b-8k-base", trust_remote_code=True, torch_dtype="auto")
 
 # Set the prompt for generating text
 prompt = "Albert Einstein was known for "
@@ -59,7 +59,7 @@ outputs = model.generate(
 )
 
 # Convert the generated token IDs back to text
-generated_text = tokenizer.batch_decode(outputs skip_special_tokens=True)
+generated_text = tokenizer.batch_decode(outputs, skip_special_tokens=True)
 
 # Print the generated text
 print(generated_text[0])