Understanding BERT Embeddings and Tokenization | NLP | HuggingFace| Data Science | Machine Learning

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[@sidharth-singh]

Quite helpful. I watched it after reading BERT paper and it makes more sense now.

[@punithandharani]

Easy to understand. Thank you so much! 🙏

[@RohanPaul-AI]

Glad it was helpful!

[@kevon217]

great step-by-step. easy to follow and helpful!

[@RohanPaul-AI]

Great to know you liked @kevon

[@starsmaker9964]

The video was very useful for me, thank you!

[@RohanPaul-AI]

Great to know you liked @starsmaker

[@marouahamdi4293]

very helpful ! thank you

[@CppExpedition]

Exactly what i needed Thx! :D

[@RohanPaul-AI]

Great to hear you liked 🙂

[@MuhammadJaalouk]

Thank you!

[@muhdbaasit8326]

Greate video. Please Explain regarding how tokenTypeIds gets generated. its required for for the tabular data.

[@RohanPaul-AI]

Thanks @muhdbaasit8326 - And Good question, will try to cover that very soon. Stay tuned.

[@Devamandarangel]

Arrasou, obrigada pela video aula.

[@RohanPaul-AI]

Pleasure and glad to know

[@RishiGarg-ld5hx]

To implement the BERT model, do I need to run it on the google colab where I have access to their GPU or my local windows is sufficient for it?

[@RohanPaul-AI]

Always better to run in a machine with GPU. In windows without GPU you may be able to run, but will be terribly slow.

[@8003066717]

is there sources available, actually i want to get the BERT embedding and pass it to BiLSTM ?? i want to learn about ?

[@RohanPaul-AI]

Generally first learning resources on BERT is HuggingFace official doc. Then for many implementations examples you can search in Kaggle and Github