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**Is your feature request related to a problem? Please describe.**
The most recent version of olevba looks like it includes the most of the XLM macro information needed to analyze/emulate the behavio…
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**Sample:** https://app.any.run/tasks/03f85d8e-c349-48bc-b367-b7e6ab6b1f94/#
**Error message:**
Error [deobfuscator.py:2433 parse_tree = self.xlm_parser.parse(formula)]: Unexpected token Token('CMPO…
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Hi, thanks for this interesting work :)
I notice in your paper that you share encoder/decoder parameters for two lanuages and use a single transformer to translate bidirectionally with language-typ…
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We've come up against this a few times in the past - and while I'm hesitant about splitting, because I can foresee some issues with tokenisation, I'm interested to know if splitting certain tokens has…
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In this branch: https://github.com/huggingface/safetensors/compare/julien-c/js I pushed a proof-of-concept of how, given the simplicity of the format, one can fetch metadata about the weights over sma…
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There are a bunch of models in huggingface that would be good to test if it compiles and accurate.
The most downloaded onnx models would be a good start: https://huggingface.co/models?library=onnx&so…
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The models listed below are for the GSoC 2023 prerequisite task only.
We provide several potential candidates. Please select only one which hasn't already been selected (look at the checkboxes and…
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For better data consistency, I suggest subdividing Chinese into two datasets:
* `zh-hans` (Chinese written using the Simplified Chinese script)
* `zh-hant` (Chinese written using the Traditional C…