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lessons/5-NLP/15-LanguageModeling/README.md
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@ -23,6 +23,8 @@ In our previous examples, we used pre-trained semantic embeddings, but it is int
Continue your learning in the following notebooks:
* [Training CBoW Word2Vec with TensorFlow](CBoW-TF.ipynb)
* [Training CBoW Word2Vec with PyTorch](CBoW-PyTorch.ipynb)
## Conclusion