Update README.md

README.md

@@ -23,6 +23,24 @@ datasets:
 - **License:** apache-2.0
 - **Finetuned from model :** unsloth/Phi-3-mini-4k-instruct-bnb-4bit
 
-This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+# Use The Model
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+## Load the tokenizer and model
+tokenizer = AutoTokenizer.from_pretrained("Dragneel/Phi-3-mini-Nepali-Text-Summarization-f16")
+model = AutoModelForCausalLM.from_pretrained("Dragneel/Phi-3-mini-Nepali-Text-Summarization-f16")
+
+## Example input text
+input_text = "Your input text here."
+
+## Tokenize the input text
+input_ids = tokenizer.encode(input_text, return_tensors='pt')
+
+## Generate text with adjusted parameters
+outputs = model.generate(input_ids, max_new_tokens=50)
+
+## Decode the generated tokens
+generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+print(generated_text)