# Specify input
text = "ଓଡ଼ିଶାରେ କେଉଁ ପ୍ରକାରର ଜଙ୍ଗଲ ରହିଛି?"

from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

# Specify device 
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")

# Load model and tokenizer 
tokenizer = AutoTokenizer.from_pretrained("Ranjit/llama_v2_or")
model = AutoModelForCausalLM.from_pretrained("Ranjit/llama_v2_or", trust_remote_code=True, torch_dtype=torch.float16).to(device)

# Tokenize input 
inputs = tokenizer(text, return_tensors="pt").to(device)

# Generate output
with torch.no_grad():
  outputs = model.generate(input_ids=inputs["input_ids"], 
                           attention_mask=inputs["attention_mask"],
                           max_new_tokens=1024, 
                           pad_token_id=tokenizer.eos_token_id)

# Decode and print  
print(tokenizer.decode(outputs[0], skip_special_tokens=True))