Update readme.py

readme.py

@@ -68,9 +68,29 @@ Fine-tuning script can be found [here](https://huggingface.co/datasets/cardiffnl
 
 
 ### Usage
+
 ```python
-pipe = pipeline("text-classification", "cardiffnlp/twitter-roberta-base-dec2020-tweet-topic-multi-2020", problem_type="multi_label_classification")
+import math
+import torch
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+def sigmoid(x):
+  return 1 / (1 + math.exp(-x))
+  
+tokenizer = AutoTokenizer.from_pretrained({model_name})
+model = AutoModelForSequenceClassification.from_pretrained({model_name}, problem_type="multi_label_classification")
+model.eval()
+class_mapping = model.config.id2label
+
+with torch.no_grad():
+  text = "#NewVideo Cray Dollas- Water- Ft. Charlie Rose- (Official Music Video)- {{URL}} via {@YouTube@} #watchandlearn {{USERNAME}}"
+  tokens = tokenizer(text, return_tensors='pt')
+  output = model(**tokens)
+  flags = [sigmoid(s) > 0.5 for s in output[0][0].detach().tolist()]
+  topic = [class_mapping[n] for n, i in enumerate(flags) if i]
+print(topic)
 ```
+
 ### Reference
 If you use any resource from T-NER, please consider to cite our [paper](https://aclanthology.org/2021.eacl-demos.7/).