Update README.md

README.md

@@ -1,12 +1,17 @@
 ---
 base_model: microsoft/Phi-3.5-mini-instruct
 library_name: transformers
-model_name: checkpoint_dir
+model_name: phi-3.5-medical
 tags:
 - generated_from_trainer
 - trl
 - sft
 licence: license
+license: apache-2.0
+datasets:
+- Rupesh2/medical-dataset-2k-phi
+language:
+- en
 ---
 
 # Model Card for checkpoint_dir
@@ -20,7 +25,7 @@ It has been trained using [TRL](https://github.com/huggingface/trl).
 from transformers import pipeline
 
 question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
-generator = pipeline("text-generation", model="Rupesh2/checkpoint_dir", device="cuda")
+generator = pipeline("text-generation", model="Rupesh2/phi-3.5-medical", device="cuda")
 output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
 print(output["generated_text"])
 ```