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word2vec
lbourdois commited on
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Update README.md

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@@ -14,7 +14,7 @@ The model is trained with the following properties: no lemmatization and postag
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  ```
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  from gensim.models import KeyedVectors
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  from huggingface_hub import hf_hub_download
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- model = KeyedVectors.load_word2vec_format(hf_hub_download(repo_id="Word2vec/eng_non_lem_postag_300_cont_skip_no_win_Google_News_2013", filename="model.bin"), binary=True, unicode_errors="ignore")
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  ```
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  ## Citation
 
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  ```
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  from gensim.models import KeyedVectors
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  from huggingface_hub import hf_hub_download
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+ model = KeyedVectors.load_word2vec_format(hf_hub_download(repo_id="Word2vec/nlpl_1", filename="model.bin"), binary=True, unicode_errors="ignore")
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  ```
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  ## Citation