Add PyPI package (#576)

* Add PyPI package

* fixes

* fixes

ch06/02_bonus_additional-experiments/README.md

@@ -55,7 +55,7 @@ You can use the following code to reproduce the experiments:
 - Row 16: `python additional_experiments.py --trainable_token_pos "flexible"`
 - Row 17: `python additional_experiments.py --disable_causal_mask`
 - Row 18: `python additional_experiments.py --ignore_index 50256`
-- Row 19: `python additional_experiments.py --average embeddings`
+- Row 19: `python additional_experiments.py --average_embeddings`
 
 I've kept the LLM and dataset small on purpose, so you can run the training on a regular laptop like a MacBook Air M3 in about 15 minutes (for the default setting) in case you don't have access to a GPU.
 

ch06/02_bonus_additional-experiments/additional_experiments.py

@@ -21,6 +21,14 @@ from gpt_download import download_and_load_gpt2
 from previous_chapters import GPTModel, load_weights_into_gpt
 
 
+# If the `previous_chapters.py` file is not available locally,
+# you can import it from the `llms-from-scratch` PyPI package.
+# For details, see: https://github.com/rasbt/LLMs-from-scratch/tree/main/pkg
+# E.g.,
+# from llms_from_scratch.ch04 import GPTModel
+# from llms_from_scratch.ch05 import download_and_load_gpt2, load_weights_into_gpt
+
+
 class LoRALayer(torch.nn.Module):
     def __init__(self, in_dim, out_dim, rank, alpha):
         super().__init__()