Update README.md

README.md

@@ -25,10 +25,23 @@ Phi-3 Mini 4k Instruct model finetuned on math datasets.
 
 Use the code below to get started with the model.
 
-[More Information Needed]
+```
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("jrc/phi3-mini-math", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("jrc/phi3-mini-math", trust_remote_code=True)
+```
 
 ## Training Details
 
+Phi3 was trained using [torchtune]() and the training script + config file are located in this repository.
+
+CMD:
+```
+tune run lora_finetune_distributed.py --config mini_lora.yaml 
+```
+
 ### Training Data
 
 <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->