testing_full.ipynb

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   "source": [
    "from transformers import AutoModelForSeq2SeqLM, AutoTokenizer\n",
    "# full fine tuning  model\n",
    "output_dir=\"./flan_t5_fine_tuned\"    \n",
    "\n",
    "# Load the fine-tuned model\n",
    "model = AutoModelForSeq2SeqLM.from_pretrained(output_dir)  # Specify the correct path to the fine-tuned model\n",
    "\n",
    "# Load the tokenizer\n",
    "tokenizer = AutoTokenizer.from_pretrained(output_dir)  # Specify the correct path to the fine-tuned mode\n",
    "# tokenizer.pad_token = tokenizer.eos_token"
   ]
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    "# Input prompt\n",
    "# input_prompt = \"who is your boss?\"\n",
    "input_prompt = \"hello\"\n",
    "\n",
    "# Tokenize and generate the model's response\n",
    "input_encodings = tokenizer(input_prompt, return_tensors=\"pt\", truncation=True, padding=True)\n",
    "output_ids = model.generate(input_encodings[\"input_ids\"])\n",
    "\n",
    "# Decode the generated output\n",
    "output_text = tokenizer.decode(output_ids[0], skip_special_tokens=True)\n",
    "\n",
    "# Print the result\n",
    "print(\"Input:\", input_prompt)\n",
    "print(\"Model's Response:\", output_text)"
   ]
  },
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   "source": []
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