Update README.md

README.md

@@ -4,6 +4,7 @@ tags:
 model-index:
 - name: twitter-roberta-base-emotion-multilabel-latest
   results: []
+pipeline_tag: text-classification
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
@@ -33,13 +34,53 @@ pip install tweetnlp
 Load the model in python.
 ```python
 import tweetnlp
-....
+
+model = tweetnlp.load_model('topic_classification', model_name='cardiffnlp/twitter-roberta-base-emotion-multilabel-latest')
+
+model.predict("I am so happy and sad at the same time")
+
+>> {'label': ['joy', 'sadness']}
+
 ```
 #### 2. pipeline
+```shell
+pip install -U tensorflow==2.10
+```
+
+```python
+from transformers import pipeline
 
+pipe = pipeline("text-classification", model="cardiffnlp/twitter-roberta-base-emotion-multilabel-latest", return_all_scores=True)
 
-### Reference 
+pipe("I am so happy and sad at the same time")
 
- ....
+>> [[{'label': 'anger', 'score': 0.0059011634439229965},
+  {'label': 'anticipation', 'score': 0.024502484127879143},
+  {'label': 'disgust', 'score': 0.016748998314142227},
+  {'label': 'fear', 'score': 0.20184014737606049},
+  {'label': 'joy', 'score': 0.9260002970695496},
+  {'label': 'love', 'score': 0.13167349994182587},
+  {'label': 'optimism', 'score': 0.32711178064346313},
+  {'label': 'pessimism', 'score': 0.08952841907739639},
+  {'label': 'sadness', 'score': 0.8542942404747009},
+  {'label': 'surprise', 'score': 0.059213291853666306},
+  {'label': 'trust', 'score': 0.01618659868836403}]]
+
+```
 
 
+### Reference 
+```
+@inproceedings{camacho-collados-etal-2022-tweetnlp,
+    title={{T}weet{NLP}: {C}utting-{E}dge {N}atural {L}anguage {P}rocessing for {S}ocial {M}edia},
+    author={Camacho-Collados, Jose and Rezaee, Kiamehr and Riahi, Talayeh and Ushio, Asahi and Loureiro, Daniel and Antypas, Dimosthenis and Boisson, Joanne and Espinosa-Anke, Luis and Liu, Fangyu and Mart{\'\i}nez-C{\'a}mara, Eugenio and others},
+    author = "Ushio, Asahi  and
+      Camacho-Collados, Jose",
+    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
+    month = nov,
+    year = "2022",
+    address = "Abu Dhabi, U.A.E.",
+    publisher = "Association for Computational Linguistics",
+}
+
+```