Update README.md

README.md

@@ -9,7 +9,9 @@ widget:
 ## Model description
 **CAMeLBERT-CA SA Model** is a Sentiment Analysis (SA) model that was built by fine-tuning the [CAMeLBERT Classical Arabic (CA)](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-ca/) model.
 For the fine-tuning, we used the [ASTD](https://aclanthology.org/D15-1299.pdf), [ArSAS](http://lrec-conf.org/workshops/lrec2018/W30/pdf/22_W30.pdf), and [SemEval](https://aclanthology.org/S17-2088.pdf) datasets.
-Our fine-tuning procedure and the hyperparameters we used can be found in our paper *"[The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models](https://arxiv.org/abs/2103.06678)."* Our fine-tuning code can be found [here](https://github.com/CAMeL-Lab/CAMeLBERT).
+Our fine-tuning procedure and the hyperparameters we used can be found in our paper *"[The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models](https://arxiv.org/abs/2103.06678)."
+* Our fine-tuning code can be found [here](https://github.com/CAMeL-Lab/CAMeLBERT).
+
 ## Intended uses
 You can use the CAMeLBERT-CA SA model directly as part of our [CAMeL Tools](https://github.com/CAMeL-Lab/camel_tools) SA component (*recommended*) or as part of the transformers pipeline.
 #### How to use
@@ -25,13 +27,15 @@ You can also use the SA model directly with a transformers pipeline:
 ```python
 >>> from transformers import pipeline
 e
->>> sa = pipeline('sentiment-analysis', model='CAMeL-Lab/bert-base-arabic-camelbert-ca-sentiment')
+>>> sa = pipeline('text-classification', model='CAMeL-Lab/bert-base-arabic-camelbert-ca-sentiment')
 >>> sentences = ['أنا بخير', 'أنا لست بخير']
 >>> sa(sentences)
 [{'label': 'positive', 'score': 0.9616648554801941},
  {'label': 'negative', 'score': 0.9779177904129028}]
 ```
-*Note*: to download our models, you would need `transformers>=3.5.0`. Otherwise, you could download the models 
+*Note*: to download our models, you would need `transformers>=3.5.0`.
+Otherwise, you could download the models manually.
+
 ## Citation
 ```bibtex
 @inproceedings{inoue-etal-2021-interplay,