feature: update README.md

README.md

@@ -1,3 +1,41 @@
 ---
 license: mit
+license_link: https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE
+
+language:
+- en
+
+pipeline_tag: text-generation
+
+tags:
+- nlp
+- code
 ---
+
+## Model Summary
+
+Phi-mmlu-lora is a LORA model which fine-tuned on mmlu dataset. The base model is  [microsoft/phi-2](https://huggingface.co/microsoft/phi-2).
+
+
+## How to Use
+
+
+```python
+import torch
+from transformers import AutoTokenizer
+from peft import AutoPeftModelForCausalLM
+
+torch.set_default_device("cuda")
+
+model = AutoPeftModelForCausalLM.from_pretrained("liuchanghf/phi2-mmlu-lora")
+tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-2", trust_remote_code=True)
+
+inputs = tokenizer('''def print_prime(n):
+   """
+   Print all primes between 1 and n
+   """''', return_tensors="pt", return_attention_mask=False)
+
+outputs = model.generate(**inputs, max_length=200)
+text = tokenizer.batch_decode(outputs)[0]
+print(text)
+```