Fine Tuning BERT for Named Entity Recognition (NER) | NLP | Data Science | Machine Learning

preview_player
Показать описание
🔥🐍 Checkout the MASSIVELY UPGRADED 2nd Edition of my Book (with 1300+ pages of Dense Python Knowledge) Covering 350+ Python 🐍 Core concepts

---------------------

======================

You can find me here:

**********************************************

**********************************************

Other Playlist you might like 👇

#NLP #machinelearning #datascience #textprocessing #kaggle #tensorflow #pytorch #deeplearning #deeplearningai #100daysofmlcode #pythonprogramming #100DaysOfMLCode
Рекомендации по теме
Комментарии
Автор

That was the best tutorial that I came across for NER with transformers.
Thank you very much.
Please keep sharing your great content in NLP.

softwine
Автор

Very, very nice. Pls keep uploading more items

saurabhmukherjee
Автор

Great in-depth coverage here, thanks. Also your informative Twitter posts are my daily go-to for learning. Please keep the invaluable content coming!

VladimirIglovikov-fnmr
Автор

This is great video Rohan. Really learned to implement NER now, and for smaller Private datasets (which are mostly the case for Corporate proprietary data) - doing BERT on them for NER is a great Value for money. No LLM required here. Thanks again for the video.

ashleypaloalto
Автор

After watching this video alone, I now grasp the basic idea behind NER. Thank you; keep it up.

doyleBellamy
Автор

This is a very useful, unique and insightful video on NER using BERT Model. Thank you Rohan

Brahma
Автор

Explained very well with a very clear voice.

noorhassanwazir
Автор

Super nice. Learned NER within 40 mints. Thanks Man 👏👏

maximocuadros
Автор

Beautiful Tutorial here. Just detailed enough for the topic. Thanks Rohan.

lovingdata
Автор

Exceptional overview of Named Entity Recognition (NER) using the BERT model. It's incredibly informative and offers valuable insights.

quick question
is there any alternative for tokenize_and_allign_labels function or mapping to conll2003 format, when I have already tokenized inputs & ner tags available ?

arunp
Автор

I wanted to use a LLM to extract job titles from text. Could you please suggest which LLM should be used to extract job title? I used finetuned xlm-roberta model but it only identifies Person, Organisation and Location

muskanrath
Автор

Great tutorial !! Would you recommend BERT over Spacy custom NER, though the data prep in this looks complex ?

Raaj_ML
Автор

the variables label_list and metric in method compute_metrics() seem to only appear in global context. Is there anyway to pass them into the compute_metrics() method?

captainmonkey
Автор

Great video. I have a question, is there an easy way of creating a custom ner dataset (with new labels)?

jipabr
Автор

does the dataset format should formated as what you showed in video?

alwanrahmanasubian
Автор

Please upload video explaining NER for pre-trained huggingface model Universal-NER/UniNER-7B-all

surajmishra
Автор

How to use custom csv datasets to train ?

gnanaprakashm
Автор

Too fantastic!
Thank you very much for sharing your knowledge.

LearningWorldChatGPT
Автор

How much does it cost to fine tune such a model?

opusdei