Update README.md

README.md

@@ -283,6 +283,7 @@ For highest performance (but less speed), I recommend using https://huggingface.
 ### How to use the model
 #### Simple zero-shot classification pipeline
 ```python
+#!pip install transformers[sentencepiece]
 from transformers import pipeline
 classifier = pipeline("zero-shot-classification", model="MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli")
 sequence_to_classify = "Angela Merkel is a politician in Germany and leader of the CDU"
@@ -344,6 +345,8 @@ If you have questions or ideas for cooperation, contact me at m{dot}laurer{at}vu
 
 ### Debugging and issues
 Note that DeBERTa-v3 was released on 06.12.21 and older versions of HF Transformers seem to have issues running the model (e.g. resulting in an issue with the tokenizer). Using Transformers>=4.13 might solve some issues. 
+Also make sure to install sentencepiece to avoid tokenizer errors. Run:  `pip install transformers[sentencepiece]` or `pip install sentencepiece`
+
 
 ## Model Recycling