Create README.md

README.md

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+# CoText (1-CCG)
+
+## Introduction
+Paper: [CoTexT: Multi-task Learning with Code-Text Transformer](https://aclanthology.org/2021.nlp4prog-1.5.pdf)
+
+Authors: _Long Phan, Hieu Tran, Daniel Le, Hieu Nguyen, James Anibal, Alec Peltekian, Yanfang Ye_
+
+## How to use
+For more details, do check out [our Github repo](https://github.com/justinphan3110/CoTexT). 
+```python
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+​
+tokenizer = AutoTokenizer.from_pretrained("razent/cotext-1-ccg")  
+model = AutoModelForSeq2SeqLM.from_pretrained("razent/cotext-1-ccg")
+​
+sentence = "def add(a, b): return a + b"
+text =  "python: " + sentence + " </s>"
+
+encoding = tokenizer.encode_plus(text, pad_to_max_length=True, return_tensors="pt")
+input_ids, attention_masks = encoding["input_ids"].to("cuda"), encoding["attention_mask"].to("cuda")
+
+outputs = model.generate(
+    input_ids=input_ids, attention_mask=attention_masks,
+    max_length=256,
+    early_stopping=True
+)
+
+for output in outputs:
+    line = tokenizer.decode(output, skip_special_tokens=True, clean_up_tokenization_spaces=True)
+    print(line)
+```
+
+## Citation
+```
+@inproceedings{phan-etal-2021-cotext,
+    title = "{C}o{T}ex{T}: Multi-task Learning with Code-Text Transformer",
+    author = "Phan, Long  and
+      Tran, Hieu  and
+      Le, Daniel  and
+      Nguyen, Hieu  and
+      Annibal, James  and
+      Peltekian, Alec  and
+      Ye, Yanfang",
+    booktitle = "Proceedings of the 1st Workshop on Natural Language Processing for Programming (NLP4Prog 2021)",
+    month = aug,
+    year = "2021",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2021.nlp4prog-1.5",
+    doi = "10.18653/v1/2021.nlp4prog-1.5",
+    pages = "40--47"
+}
+```