Update README.md

README.md

@@ -7,4 +7,41 @@ base_model:
 pipeline_tag: token-classification
 ---
 
+## Usage
+
+* Importing the libraries and loading the models and the pipeline
+```python
+from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
+model_id = "gauneg/roberta-base-absa-ate-sentiment"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForTokenClassification.from_pretrained(model_id)
+
+ate_sent_pipeline = pipeline(task='ner', 
+                  aggregation_strategy='simple',
+                  tokenizer=tokenizer,
+                  model=model)
+
+
+
+```
+* Using the pipeline object:
+```python
+text_input = "Been here a few times and food has always been good but service really suffers when it gets crowded."
+ate_sent_pipeline(text_input)
+```
+* pipeline output:
+```bash
+[{'entity_group': 'pos',
+  'score': 0.8447307,
+  'word': ' food',
+  'start': 26,
+  'end': 30},
+ {'entity_group': 'neg',
+  'score': 0.81927896,
+  'word': ' service',
+  'start': 56,
+  'end': 63}]
+
+```
+