Update README.md

README.md

@@ -27,6 +27,8 @@ widget:
 
 [colab_notebook](https://colab.research.google.com/drive/17PyMU_3QN9LROy7x-jmaema0cuLRzBvc?usp=sharing)
 
+[pip library_etl](https://github.com/PipableAI/pip-library-etl.git)
+
 ## What have we built?
 
 A 1.3 bn code documentation model that outperforms most models on documenting codes and making your in-house libs ready for LLM and RAG pipelines.
@@ -72,8 +74,8 @@ prompt = f"""<example_response>{example of some  --question: , --query}</example
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 device = "cuda"
-model = AutoModelForCausalLM.from_pretrained("PipableAI/pip-library-etl-1.3b ").to(device)
-tokenizer = AutoTokenizer.from_pretrained("PipableAI/pip-library-etl-1.3b b")
+model = AutoModelForCausalLM.from_pretrained("PipableAI/pip-library-etl-1.3b").to(device)
+tokenizer = AutoTokenizer.from_pretrained("PipableAI/pip-library-etl-1.3b")
 prompt = f"""<example_response>
 --code:def function_2(x): return x / 2
 --question:Document the python code above giving function description ,parameters and return type and example how to call the function.