PetrochukM/PyTorch-NLP

Support loading fasttext model from custom file

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#61 建立於 2019年1月3日

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 (5 留言) (0 反應) (0 負責人)Python (2,205 star) (262 fork)batch import
enhancementgood first issuehelp wanted

描述

What if I want to use own pretrained fasttext model (or even commoncrawl model instead of standard wiki one)? E.g. look what they publish now: https://fasttext.cc/docs/en/crawl-vectors.html. Current FastText impl

    url_base = 'https://s3-us-west-1.amazonaws.com/fasttext-vectors/wiki.{}.vec'
    aligned_url_base = 'https://s3.amazonaws.com/arrival/embeddings/wiki.multi.{}.vec'

    def __init__(self, language="en", aligned=False, **kwargs):
        if aligned:
            url = self.aligned_url_base.format(language)
        else:
url = self.url_base.format(language)

doesn't allow you to do such basic stuff.

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pythonpytorch
領域
backendmachine learning
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
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clear
前置要求
Python basicsPyTorch basicsFastText format
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
75
研究方向
Examine the current FastText class implementation (likely in 'pytorchnlp/fasttext.py'). Add a parameter to init for a custom file path. Update the URL logic to use the provided path if given, else fall back to defaults. Ensure backward compatibility. See issue comments for additional context.
Support loading fasttext model from custom file · PetrochukM/PyTorch-NLP#61 | Good First Issue