Update README.md

README.md

@@ -5,4 +5,22 @@ tags:
 - forward-looking-statement
 widget:
 - text: "We expect the age of our fleet to enhance availability and reliability due to reduced downtime for repairs. "
----
+---
+
+Forward-looking statements (FLS) inform investors of managers’ beliefs and opinions about firm's future events or results. Identifying forward-looking statements from corporate reports can assist investors in financial analysis. FinBERT-FLS is a FinBERT model fine-tuned on 3,500 manually annotated sentences from Management Discussion and Analysis section of annual reports of Russell 3000 firms.  
+
+# How to use 
+You can use this model with Transformers pipeline for sentiment analysis.
+```python
+# tested in transformers==4.18.0 
+from transformers import BertTokenizer, BertForSequenceClassification, pipeline
+
+finbert = BertForSequenceClassification.from_pretrained('yiyanghkust/finbert-fls',num_labels=3)
+tokenizer = BertTokenizer.from_pretrained('yiyanghkust/finbert-fls')
+nlp = pipeline("text-classification", model=finbert, tokenizer=tokenizer)
+results = nlp('We expect the age of our fleet to enhance availability and reliability due to reduced downtime for repairs.')
+print(results)  # [{'label': 'Specific FLS', 'score': 0.77278733253479}]
+
+```
+
+Visit [FinBERT.AI](https://finbert.ai/) for more details on the recent development of FinBERT.