| library_name: transformers | |
| pipeline_tag: text-classification | |
| language: | |
| - ur | |
| - multilingual | |
| license: apache-2.0 | |
| tags: | |
| - urdu | |
| - roman-urdu | |
| - xlm-roberta | |
| - text-classification | |
| - sentiment-analysis | |
| - sentiment-classification | |
| - social-media | |
| # socialsense-xmlr | |
| Fine-tuned XLM-R for Urdu & Roman Urdu text sentiment classification. | |
| ## Labels | |
| - 0: NEGATIVE | |
| - 1: NEUTRAL | |
| - 2: POSITIVE | |
| ## Usage | |
| ```python | |
| from transformers import pipeline | |
| pipe = pipeline("text-classification", | |
| model="yahyaqarni/socialsense-xmlr", | |
| tokenizer="yahyaqarni/socialsense-xmlr", | |
| top_k=None) | |
| print(pipe("یہ بہت اچھا ہے")) | |
| print(pipe("me bilkul khush nai hoon")) | |
| ``` | |
| ## Acknowledgements | |
| This model was fine-tuned from [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment), originally released under the Apache 2.0 License. | |