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README.md ADDED
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+ ---
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+ library_name: transformers.js
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+ base_model:
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+ - neulab/codebert-javascript
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+ pipeline_tag: fill-mask
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+ ---
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+
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+
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+
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+ # codebert-javascript (ONNX)
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+
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+
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+ This is an ONNX version of [neulab/codebert-javascript](https://huggingface.co/neulab/codebert-javascript). It was automatically converted and uploaded using [this Hugging Face Space](https://huggingface.co/spaces/onnx-community/convert-to-onnx).
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+
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+
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+ ## Usage with Transformers.js
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+
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+
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+ See the pipeline documentation for `fill-mask`: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.FillMaskPipeline
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+
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+
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+ ---
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+
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+
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+ This is a `microsoft/codebert-base-mlm` model, trained for 1,000,000 steps (with `batch_size=32`) on **JavaScript** code from the `codeparrot/github-code-clean` dataset, on the masked-language-modeling task.
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+
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+ It is intended to be used in CodeBERTScore: [https://github.com/neulab/code-bert-score](https://github.com/neulab/code-bert-score), but can be used for any other model or task.
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+
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+ For more information, see: [https://github.com/neulab/code-bert-score](https://github.com/neulab/code-bert-score)
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+
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+ ## Citation
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+
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+ If you use this model for research, please cite:
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+ ```
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+ @article{zhou2023codebertscore,
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+ url = {https://arxiv.org/abs/2302.05527},
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+ author = {Zhou, Shuyan and Alon, Uri and Agarwal, Sumit and Neubig, Graham},
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+ title = {CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code},
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+ publisher = {arXiv},
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+ year = {2023},
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+ }
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+ ```
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