Відео

if any model has for resume

great vid, I just have a quick question, How do I make a permanent link to share to others

is there any annotation tool for the preparing spacy ner data?

Thank you!

hello sir, does this model detect filler words ?

Its not working. ner_prediction(corpus=doc, compute='cpu') AttributeError: 'DataFrame' object has no attribute 'append'

instead of training an NER is there any way to pass a certain data into the spacy model i.e can we pass the custom data inside a spacy model?

Good video, so much tanks. You helped me a lot.

hey ,can you please provide the training notebook .thanks in advance

Hi, quick question: i had trained the model like you suggested. but when i loaded the best model and tested it on few docs, its returning the docs only instead of the entity. Can you suggest why this would be the case

Works great, but have a question. How can i calculate the metrics precision recall f1 accuracy scores

Good afternoon! Tell me, please, have you published a file with the training of the model? I really like your work and I want to develop in this field!

Hello, I ran the codes and trained the model on the entire dataset, but when I run the inference code, the predictions are empty. Any idea why? Could it have anything to do with the fact that I don't have pytorch_model.bin in my model folder, but model.safetensors instead?

Thx

Im just here to be nosy.. his man is intelligent and fine. Ok byee

Thanks Deepak for your guidance. I was struggling trying to get LocalDocs work with GPT4All and your method of using CSV files works better than LocalDocs. I have a question on further enhancing this. How do I get the model to do the following: 1) List more than one result? I tried k=4, but that did not give me any more than 1 result. 2) How do I get the model to summarize information? Example, I want it do simple things like 'How many novels were written by Tagore?' from a list of his works. Thanks in advance for your additional help.

the model you created is it based on the whole datasets?

Very useful work. But i am getting AttributeError: 'DataFrame' object has no attribute 'append'. can you pls recheck/update the code?

This is a good model that I've been using for my course project for some time. Your work is very much appreciated!

Hi Brother How to annotate automatically for large text data by this i have to do it mannually

Hey, great work dude! I am wondering where can i access this Named Entity Spacy Tagger @ 1:46 Thank you

sir, I am note able to import huggingsound, Please help

The issue with this is, if we want the openai to set I don't know the answer if some irrelevant question is asked, it still answers. How to implement that

❤❤❤

Does this work on intranet environment

I really like the second cluster. Its funny to see twitter at its worst.

"promosm" ❤️

Is it required valid openain credential?

GPT4ALLEmbedding() throwong error "GGML assert "

Thanks you for the amazing tuto. Can we annotat severals data in the same tIME ?

Excellent tutorial!!! It helped me to learn the custom NER, which otherwise looks difficult to follow in the spaCy documentation.

Such a lovely man

the real ones are here for a reason.

Good one,, i m trying to build the knowledge graph using this technique, but have got stuck into it. Would you please suggest me how to tackle it? 1- how to have the 2 edges from the same source node to destination node?I mean I have tried all possible ways best of my knowledge to build more than one transition edge from same source node to the same destination node in the same direction. 2- how to identify all the possible paths from the initial node to the final node, when there's a KG(knowledge graph) is available.

great video, I have a question tho let's say i trained a model with a TRAIN_DATA of 300 texts, now i have 200 more texts to train because the model was not accurate. is there a possibility to just train the same model with these 200 new texts or should i train a new model with all the 500 texts(it will take a long time)? if there is a way how pls ^^

Bring more of these amazing people loving these unscripted podcasts nowadays.

Great content sir . Thank you so much . Learnt a lot from this one . Keep growing 🎉

how can i access the code?

Very good one.. i have a special use case.. let me know how to connect with you do discuss the usecase

Great tutorial!!! Very concise.

Nice where we can see the code for above

ValueError("[E024] Could not find an optimal move to supervise the parser. Usually, this means that the model can't be updated in a way that's valid and satisfies the correct annotations specified in the GoldParse. For example, are all labels added to the model? If you're training a named entity recognizer, also make sure that none of your annotated entity spans have leading or trailing whitespace or punctuation. You can also use the `debug data` command to validate your JSON-formatted training data. For details, run: python -m spacy debug data --help") I am getting this error.......

I have this thing as my training data drive.google.com/file/d/1ssBswos2TAh8OTpcdTz7iDNqU2jCti7V/view?usp=drivesdk How to train now?

I am getting too many errors when I run the model_training code. I have tried running it on Google Colab, but I still cannot get any results. Can you please help me?

Salam Mr. Deepak John Reji, i've tried to follow your video step by step, but when i reach the step 5 - run the training code i had a error massage "TF-TRT Warning : could not find TensorRT" , I have tried so many ways on the internet but until now I still haven't found the right one, can you help me, oh yes, I used google colab to do this coding.

can this approach be useful to group google reviews into categories

Great work. Kindly provide the training notebook, codes on how to train the model. Thanks in advance

Thank you very much for this video. Step 3. Don't you think it should be i[1]['entities'] = [(0, 0, entity_name)] instead?

so great video but just 500 views is shocking me !!!

claps hands for thumbnail bait