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If I'm not mistaken that provides support to convert a GloVe model to word2vec and work with it in Gensim. But what I want to do is to finetune a trained GloVe model following the GloVe training procedure. 2017-10-26 18:08 GMT+02:00 Athif Shaffy <email@example.com>:…
This might help you. https://machinelearningmastery.com/develop-word-embeddings-python-gensim/ — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#100 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AORkUQF0a0p1i_pQEW4wCs4hyJih4Y4rks5swK5ygaJpZM4QH0MD> .
If I'm accurately understanding what you want to do, the answer is counterintuitive. You can fine-tune at any time by resuming training with the new parameters and/or dataset. If you prefer, you can also start from the ground up, but in most cases it's unnecessary and time consuming.