Update README.md

README.md

@@ -107,7 +107,7 @@ You may also construct the pipeline from the loaded model and tokenizer yourself
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model_name = "psinger/h2ogpt-gm-oasst1-en-xgen-7b-8k"  # either local folder or huggingface model name
+model_name = "h2oai/h2ogpt-gm-oasst1-en-xgen-7b-8k"  # either local folder or huggingface model name
 # Important: The prompt needs to be in the same format the model was trained with.
 # You can find an example prompt in the experiment logs.
 prompt = "<|prompt|>How are you?<|endoftext|><|answer|>"