Update README.md

README.md

@@ -1,3 +1,24 @@
 ---
 license: llama2
 ---
+```
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
+
+tokenizer = AutoTokenizer.from_pretrained("monuminu/indo-instruct-llama2-32k")
+model = AutoModelForCausalLM.from_pretrained(
+    "monuminu/indo-instruct-llama2-32k",
+    device_map="auto",
+    torch_dtype=torch.float16,
+    load_in_8bit=True,
+    rope_scaling={"type": "dynamic", "factor": 2} # allows handling of longer inputs
+)
+
+prompt = "### User:\nThomas is healthy, but he has to go to the hospital. What could be the reasons?\n\n### Assistant:\n"
+inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+del inputs["token_type_ids"]
+streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
+
+output = model.generate(**inputs, streamer=streamer, use_cache=True, max_new_tokens=float('inf'))
+output_text = tokenizer.decode(output[0], skip_special_tokens=True)
+```