Update README.md

README.md

@@ -8,7 +8,7 @@ datasets:
 This is a [t5-small](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) fine-tuned version on the [wikisql dataset](https://huggingface.co/datasets/wikisql) for **SQL** to **English** **translation** text2text mission.
 
 The model can be loaded like so:
-
+(Necessary packages: !pip install transformers sentencepiece)
 ```python
 from transformers import AutoTokenizer, AutoModelWithLMHead
 tokenizer = AutoTokenizer.from_pretrained("dbernsohn/t5_wikisql_SQL2en")
@@ -28,6 +28,6 @@ output = model.generate(input_ids=features['input_ids'].cuda(),
 tokenizer.decode(output[0])
 ```
 
-The whole training process and hyperparameters are in my [GitHub repo](https://github.com/DorBernsohn)
+The whole training process and hyperparameters are in my [GitHub repo](https://github.com/DorBernsohn/SQLM)
 
 > Created by [Dor Bernsohn](https://www.linkedin.com/in/dor-bernsohn-70b2b1146/)