Update README.md

README.md

@@ -12,6 +12,20 @@ Tokenizer used is from Gemma 2-2B-JPN-IT which is trained on japanese dataset fr
 
 Model usage:-
 
+```python
+from transformers import AutoTokenizer,AutoModelForCausalLM
+tokenizer=AutoTokenizer.from_pretrained('tirthadagr8/Japanese_to_english_gpt2CasualLM_GemmaTokenizer')
+model=AutoModelForCausalLM.from_pretrained('tirthadagr8/Japanese_to_english_gpt2CasualLM_GemmaTokenizer')
+model.cuda()
+src_text='あなたとは遊びたくない'
+print(tokenizer.batch_decode(model.generate(tokenizer.encode(f"Translate the following Japanese sentence to English:\n\nJapanese:{src_text}\nEnglish:",return_tensors='pt')[:,:-1].cuda(),max_length=128))[0])
+
+OUTPUT:
+```
+<bos>Translate the following Japanese sentence to English:
+
+Japanese:あなたとは遊びたくない
+English:i don't want to play with you.<eos>
 
 ```bibtex
 @ARTICLE{pryzant_jesc_2018,