Update README.md

README.md

@@ -43,8 +43,8 @@ For example, to chat with the finance model:
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model = AutoModelForCausalLM.from_pretrained("AdaptLLM/finance-LLM-13B")
-tokenizer = AutoTokenizer.from_pretrained("AdaptLLM/finance-LLM-13B", use_fast=False)
+model = AutoModelForCausalLM.from_pretrained("AdaptLLM/finance-LLM")
+tokenizer = AutoTokenizer.from_pretrained("AdaptLLM/finance-LLM", use_fast=False)
 
 # Put your input here:
 user_input = '''Use this fact to answer the question: Title of each class Trading Symbol(s) Name of each exchange on which registered
@@ -67,6 +67,7 @@ pred = tokenizer.decode(outputs[answer_start:], skip_special_tokens=True)
 
 print(f'### User Input:\n{user_input}\n\n### Assistant Output:\n{pred}')
 ```
+
 ## Domain-Specific Tasks
 To easily reproduce our results, we have uploaded the filled-in zero/few-shot input instructions and output completions of each domain-specific task: [biomedicine-tasks](https://huggingface.co/datasets/AdaptLLM/medicine-tasks), [finance-tasks](https://huggingface.co/datasets/AdaptLLM/finance-tasks), and [law-tasks](https://huggingface.co/datasets/AdaptLLM/law-tasks).