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README.md
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# roberta-javascript
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---
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language: javascript
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datasets:
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- CodeSearchNet
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---
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This is a [roberta](https://arxiv.org/pdf/1907.11692.pdf) pre-trained version on the [CodeSearchNet dataset](https://github.com/github/CodeSearchNet) for **javascript** Mask Language Model mission.
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To load the model:
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(necessary packages: !pip install transformers sentencepiece)
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```python
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from transformers import AutoTokenizer, AutoModelWithLMHead, pipeline
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tokenizer = AutoTokenizer.from_pretrained("dbernsohn/roberta-javascript")
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model = AutoModelWithLMHead.from_pretrained("dbernsohn/roberta-javascript")
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fill_mask = pipeline(
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"fill-mask",
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model=model,
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tokenizer=tokenizer
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)
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```
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You can then use this model to fill masked words in a Java code.
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```python
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code = """
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var i;
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for (i = 0; i < cars.<mask>; i++) {
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text += cars[i] + "<br>";
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}
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""".lstrip()
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pred = {x["token_str"].replace("Ġ", ""): x["score"] for x in fill_mask(code)}
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sorted(pred.items(), key=lambda kv: kv[1], reverse=True)
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# [('length', 0.9959614872932434),
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# ('i', 0.00027875584783032537),
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# ('len', 0.0002283261710545048),
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# ('nodeType', 0.00013731322542298585),
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# ('index', 7.5289819505997e-05)]
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```
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The whole training process and hyperparameters are in my [GitHub repo](https://github.com/DorBernsohn/CodeLM/tree/main/CodeMLM)
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> Created by [Dor Bernsohn](https://www.linkedin.com/in/dor-bernsohn-70b2b1146/)
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