Updated quickstart notebook to use llama_recipes package (#224)

examples/quickstart.ipynb

@@ -32,7 +32,7 @@
    "outputs": [],
    "source": [
     "# %%bash\n",
-    "# pip install transformers datasets accelerate sentencepiece protobuf==3.20 py7zr scipy peft bitsandbytes fire torch_tb_profiler ipywidgets\n",
+    "# pip install llama-recipes transformers datasets accelerate sentencepiece protobuf==3.20 py7zr scipy peft bitsandbytes fire torch_tb_profiler ipywidgets\n",
     "# TRANSFORM=`python -c \"import transformers;print('/'.join(transformers.__file__.split('/')[:-1])+'/models/llama/convert_llama_weights_to_hf.py')\"`\n",
     "# python ${TRANSFORM} --input_dir models --model_size 7B --output_dir models_hf/7B"
    ]
@@ -130,11 +130,8 @@
     }
    ],
    "source": [
-    "from pathlib import Path\n",
-    "import os\n",
-    "import sys\n",
-    "from utils.dataset_utils import get_preprocessed_dataset\n",
-    "from configs.datasets import samsum_dataset\n",
+    "from llama_recipes.utils.dataset_utils import get_preprocessed_dataset\n",
+    "from llama_recipes.configs.datasets import samsum_dataset\n",
     "\n",
     "train_dataset = get_preprocessed_dataset(tokenizer, samsum_dataset, 'train')"
    ]