Update README.md

README.md

@@ -67,9 +67,4 @@ model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float
 inputs = tokenizer("I am so tired I could sleep right now. -> Je suis si fatigué que je pourrais m'endormir maintenant.\nHe is heading to the market. -> Il va au marché.\nWe are running on the beach. ->", return_tensors="pt").to(model.device)
 tokens = model.generate(**inputs, max_length=100, do_sample=True, top_p=0.95, top_k=60, temperature=0.3)
 print(tokenizer.decode(tokens[0]))
-
-# remove bos token
-inputs = tokenizer("Capitales: France -> Paris, Italie -> Rome, Allemagne -> Berlin, Espagne ->", return_tensors="pt", add_special_tokens=True).to(model.device)
-tokens = model.generate(**inputs, max_length=100, do_sample=True, top_p=0.95, top_k=60)
-print(tokenizer.decode(tokens[0]))
 ```