Update README.md

README.md

@@ -6,7 +6,7 @@ datasets:
 - text2tech/ner_re_1000_texts_GPT3.5labeled_chat_dataset
 - text2tech/ner_100abstracts_100full_texts_GPT4labeled_chat_dataset
 ---
-# Model Card for Model ID
+# Model Card for mistral-7b-instruct-v0.2-NER-RE-qlora-1200docs
 
 <!-- Provide a quick summary of what the model is/does. -->
 
@@ -74,6 +74,7 @@ Users (both direct and downstream) should be made aware of the risks, biases and
 
 Use the code below to get started with the model.
 
+```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 import datasets
 
@@ -95,6 +96,7 @@ response = model.generate(**ex, max_new_tokens=300, temperature=0.0)
 # print decoded 
 input_len = ex['input_ids'].shape[1]
 print(tokenizer.decode(response[0][input_len:], skip_special_tokens=True))
+```
 
 [More Information Needed]