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+ This model is funetune version of Codebert in robert. On CodeSearchNet.
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+ ###
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+ Quick start:
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+
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+ from transformers import AutoTokenizer, AutoModelForSequenceClassification
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+
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+ tokenizer = AutoTokenizer.from_pretrained("addy88/programming-lang-identifier")
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+
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+ model = AutoModelForSequenceClassification.from_pretrained("addy88/programming-lang-identifier")
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+
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+ input_ids = tokenizer.encode(CODE_TO_IDENTIFY)
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+ logits = model(input_ids)[0]
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+
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+ language_idx = logits.argmax() # index for the resulting label
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+ ###
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+
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+
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+ CodeSearchNet citation
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+ Details
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+ @article{husain_codesearchnet_2019,
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+ title = {{CodeSearchNet} {Challenge}: {Evaluating} the {State} of {Semantic} {Code} {Search}},
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+ shorttitle = {{CodeSearchNet} {Challenge}},
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+ url = {http://arxiv.org/abs/1909.09436},
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+ urldate = {2020-03-12},
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+ journal = {arXiv:1909.09436 [cs, stat]},
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+ author = {Husain, Hamel and Wu, Ho-Hsiang and Gazit, Tiferet and Allamanis, Miltiadis and Brockschmidt, Marc},
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+ month = sep,
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+ year = {2019},
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+ note = {arXiv: 1909.09436},
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+ }