Update README.md

README.md

@@ -56,6 +56,34 @@ _NOTE_: `bitsandbytes` library is only needed for 8 bit version. Otherwise, it's
 
 ### Inference on a big GPU
 
+If you have a big enough GPU like an A100 in your posession, this code is for you. 
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
+import torch
+
+model_name_or_id = "MaralGPT/Maral-7B-alpha-1"
+
+model = AutoModelForCausalLM.from_pretrained(model_name_or_id, torch_dtype=torch.float16, device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained(model_name_or_id)
+
+prompt = "در سال ۱۹۹۶ چه کسی رییس جمهور آمریکا بود؟"
+prompt = f"### Human:{prompt}\n### Assistant:"
+
+inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+
+generation_config = GenerationConfig(
+    do_sample=True,
+    top_k=1,
+    temperature=0.5,
+    max_new_tokens=300,
+    pad_token_id=tokenizer.eos_token_id
+)
+
+outputs = model.generate(**inputs, generation_config=generation_config)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
 ### Inference on a small GPU (Consumer Hardware/Free Colab)
 
 ## Known Issues