Update README.md

I don't know where this model came, I didn't create one like this. Corrected the model URL.

README.md

@@ -24,7 +24,7 @@ You can then generate text as follows:
 ```python
 from transformers import pipeline
 
-generator = pipeline("text-generation", model="Hermi2023//mnt/hdd0/home/buwei/sample/tmp/tmp5nx4qcp3/Hermi2023/doc2query-ppo-msmarco-43520-121")
+generator = pipeline("text-generation", model="Hermi2023/doc2query-ppo-msmarco-43520-121")
 outputs = generator("Hello, my llama is cute")
 ```
 
@@ -34,8 +34,8 @@ If you want to use the model for training or to obtain the outputs from the valu
 from transformers import AutoTokenizer
 from trl import AutoModelForCausalLMWithValueHead
 
-tokenizer = AutoTokenizer.from_pretrained("Hermi2023//mnt/hdd0/home/buwei/sample/tmp/tmp5nx4qcp3/Hermi2023/doc2query-ppo-msmarco-43520-121")
-model = AutoModelForCausalLMWithValueHead.from_pretrained("Hermi2023//mnt/hdd0/home/buwei/sample/tmp/tmp5nx4qcp3/Hermi2023/doc2query-ppo-msmarco-43520-121")
+tokenizer = AutoTokenizer.from_pretrained("Hermi2023/doc2query-ppo-msmarco-43520-121")
+model = AutoModelForCausalLMWithValueHead.from_pretrained("Hermi2023/doc2query-ppo-msmarco-43520-121")
 
 inputs = tokenizer("Hello, my llama is cute", return_tensors="pt")
 outputs = model(**inputs, labels=inputs["input_ids"])