Create README.md

README.md

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+# roberta-java
+---
+language: Java
+datasets:
+- CodeSearchNet 
+---
+
+This is a [roberta](https://arxiv.org/pdf/1907.11692.pdf) pre-trained version on the [CodeSearchNet dataset](https://github.com/github/CodeSearchNet) for **Java** Mask Language Model mission.
+
+To load the model:
+(necessary packages: !pip install transformers sentencepiece)
+```python
+from transformers import AutoTokenizer, AutoModelWithLMHead, pipeline
+tokenizer = AutoTokenizer.from_pretrained("dbernsohn/roberta-python")
+model = AutoModelWithLMHead.from_pretrained("dbernsohn/roberta-python")
+
+fill_mask = pipeline(
+    "fill-mask",
+    model=model,
+    tokenizer=tokenizer
+)
+```
+
+You can then use this model to fill masked words in a Pytho code.
+
+```java
+code = """
+String[] cars = {"Volvo", "BMW", "Ford", "Mazda"};
+for (String i : cars) {
+System.out.<mask>(i);
+}
+""".lstrip()
+
+pred = {x["token_str"].replace("Ġ", ""): x["score"] for x in fill_mask(code)}
+sorted(pred.items(), key=lambda kv: kv[1], reverse=True)
+# [('println', 0.32571351528167725),
+# ('get', 0.2897663116455078),
+# ('remove', 0.0637081190943718),
+# ('exit', 0.058875661343336105),
+# ('print', 0.034190207719802856)]
+```
+
+The whole training process and hyperparameters are in my [GitHub repo](https://github.com/DorBernsohn/CodeLM/tree/main/CodeMLM)
+
+> Created by [Dor Bernsohn](https://www.linkedin.com/in/dor-bernsohn-70b2b1146/)