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: Need little bit help : which model is best for generating text by giving keywords? - training model using youtube metadata? - Or fine-tuning it using youtube metadata?
fine tuning is always preferred otherwise, you have to use huge amount of data for the training from the scratch. I have done same thing for Amazon products meta data here www.udemy.com/course/fine-tuning-llm-with-hugging-face-transformers/?referralCode=6DEB3BE17C2644422D8E
Important Message: This method shown in the video will work, if and only if you already set the environment variables properly. Otherwise, without setting the environment variable, if anyone just follows the video, it will not work. I tested and failed. Please watch another video to see details, on how to set Env. Var. After setting env. var. I followed the video and it works. Thanks.
I have been working on this for more that 1 whole week...I cant thank you enough for this man..!! { for everyone facing issues with tf not detecting GPU.. its the damn tensorflow version that is the issue!. *TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows*, Download CUDA and cuDNN respectively.
its my 4th day, still struggling, (unlike countless other videos) even this video does not work for me... tell me, do i have to download lower versions of cuda and cudnn as well? after considering tensorflow 2.10?
@@KGPTalkie i have same python version as in video : python 3.10.4 and now tensorflow works, but it cant locate cudnn files, and shows cant locate dll file errors. And thus show null value in detecting gpu.
Hey bro ,good video , one question though , I bought this earlier this week and got it delivered today. I see the website claims this has seat slider lever but I don't see it in my chair , I don't see it in yours too but I saw you comment that there is indeed seat sliding function , could you let me know how you're doing it?
I just checked it again, and it's there, but not at the front. I have another chair where it is at the front. In your chair, there are two levers on the right side. The first lever from the front can be used for sliding. Pull that up, then try to slide your seat forward while seated.
@@KGPTalkie Ah , for some reason my chair only has one lever which adjusts the height and back angle , I don't see any second lever to adjust seat sliding. I actually wanted that function being a tall person , anyway , Greensoul owes me an explanation . I appreciate the revert , bro :)
how do do that? i tried, but i have error : module compiled using Numpy 1.0 cannot be run in Numpy 2.1... non of these tensorflow with gpu videos work for me... what a waste of time
Hello, I've encountered a problem following your tutorial. I followed everything but at the end when I tried to import tensorflow in jupyter notebook, I got an error about how I'm trying to use numpy 1.x instead of 2.x or something like that, which is confusing as I'm new to this whole thing, but my guess is that since you have put this on youtube, there has been some changes to anaconda distribution.
Really Really thank you so much !!!! from last 2 weeks I have been trying to install it for gpu followed lots of videos then finally tried with your instructions and its working !!!!!!!!!!! Subscribed 😁😁😁
Sir it is working for tensorflow 2.10.1 and 2.10 but when i testing the model for installation then math_ops import error facing and it says you need to upgrade tensorflow version but if i upgrade then gpu is not detected what should i do for tensorflow 2.16.1 and 2.17??
just wonderful, I tried to get this up and running 2 years ago, wasted lot of time and gave up, today i decided to give it a shot by following your instructions and it WORKED!!! You are Amazing.
My anaconda is installed in C drive... But whenever I use Jupiter notebook I open it in D drive by using a command. Does this virtual environment is accessible in D drive ?
I have NVidia RTX 3050, which Cuda and CuDNN version is compatible, i am following same procedure according to video, but lastly [ ] output is coming. what shuld i do?
Hey I have the same GPU. You need to run "" python -m pip install tensorflow==2.10 "" It is in the documents of TF that Anything above 2.10 is not supported on the GPU on Windows.
Finally this work for me, though I still got 500 Internal Server Error when I open Jupyter from the Anaconda env (tried re-installing but still got the same problem, I use VSC now). I have Nvidia GTX 1650 Mobile, and I followed all the instruction except step 4 where I use tensorflow-gpu==2.9 instead of what shown there. I also matched the python version, cuDNN, and CUDA with the web version (tf-gpu 2.9.0 match with cuDNN 8.1, CUDA 11.2, and I use Python 3.7 instead of 3.10 shown in this video). If I follow the instruction as it is, I got tensorflow version not matching with the version that can utilize GPU.. Thank you.
Hey, needed a bit of help, so after doing the steps in the video, how will i use it in jupyter lab. I had installed tensorflow latest version before and it did not detect gpu, now after downloading the 2.10 version, in this new environment, how do i make my jupyter lab use this tensorflow and not the previous one.
@@KGPTalkie thank you very much for your responses. I just want to ask which model you would recommend for handling summaries in both English and French. Thank you.
Can you help me I have nvdia 940mx I have install the toolkit manually 11.2 and cudnn=8.0.1 and paste the files I have environment with 3.9 tensorflow 2.5.0 but as soon as I list the command for GPU its does not get any
I usually don't comment on ytb video but this one is exceptional. This video ends my 13 consecutive working hours. You truly are my savior! Thank you kind sir!!!
