Update README.md

README.md

@@ -8,13 +8,13 @@ license: cc-by-4.0
 
 ## Information
 A word2vec model trained by Andrey Kutuzov ([email protected]) on a vocabulary of size 273930 corresponding to 2252637050 tokens from the dataset `English_Wikipedia_Dump_of_February_2017`.
-The model is trained with the following properties: lemmatization and postag with the algorith Global Vectors with window of 5 and dimension of 300.
+The model is trained with the following properties: no lemmatization and postag with the algorith Global Vectors with window of 5 and dimension of 300.
 
 ## How to use?
 ```
 from gensim.models import KeyedVectors
 from huggingface_hub import hf_hub_download
-model = KeyedVectors.load_word2vec_format(hf_hub_download(repo_id="Word2vec/eng_lem_postag_300_cont_skip_5_English_Wikipedia_Dump_of_February_2017", filename="model.bin"), binary=True, unicode_errors="ignore")
+model = KeyedVectors.load_word2vec_format(hf_hub_download(repo_id="Word2vec/eng_no_lem_postag_300_cont_skip_5_English_Wikipedia_Dump_of_February_2017", filename="model.bin"), binary=True, unicode_errors="ignore")
 ```
 
 ## Citation