Create README.md

README.md

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+---
+license: mit
+datasets:
+- cardiffnlp/super_tweeteval
+language:
+- en
+---
+# cardiffnlp/twitter-roberta-large-latest-tweet-intimacy
+
+This is a RoBERTa-large model trained on 154M tweets until the end of December 2022 and finetuned for intimacy analysis (regression on a single text) on the _TweetIntimacy_ dataset of [SuperTweetEval](https://huggingface.co/datasets/cardiffnlp/super_tweeteval).
+The original Twitter-based RoBERTa model can be found [here](https://huggingface.co/cardiffnlp/twitter-roberta-large-2022-154m).
+
+## Example
+```python
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model_name = "cardiffnlp/twitter-roberta-large-latest-tweet-intimacy"
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+
+text= '@user Furthermore, harassment is ILLEGAL in any form!'
+model(**tokenizer(text, return_tensors="pt")).logits
+>> tensor([1.6744])
+```
+
+## Citation Information
+Please cite the [reference paper](https://arxiv.org/abs/2310.14757) if you use this model.
+
+```bibtex
+@inproceedings{antypas2023supertweeteval,
+  title={SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research},
+  author={Dimosthenis Antypas and Asahi Ushio and Francesco Barbieri and Leonardo Neves and Kiamehr Rezaee and Luis Espinosa-Anke and Jiaxin Pei and Jose Camacho-Collados},
+  booktitle={Findings of the Association for Computational Linguistics: EMNLP 2023},
+  year={2023}
+}
+```
+