Whenever I was looking for any sort of trying out new things in ML. I just get the solution(idea to start) here. Thanks for your efforts. Looking forward to the next one.
I've liked your video. But I have a question, I already have a model and I wanted to perform get and post from another website with php. How can I achieve it?
Sir, any suggested video on deployment？ like wrappe this fastapi application to a docker image and serve on AWS or whatever is the best practice in the industry! Really need these kind of video. Thank you sir for making this great resource.
It's simple and cool video to start! Abhishek, I started learning ML and DL like 2 month ago. I've read your fantastic book and try some ongoing Kaggle competitions. I'd like to ask you to make video about different optimizers and schedulers. I have some problems with choosing right ones and hypertuning their parameters. Optuna helps me, but it's really takes a lot of time( Could you also recommend a great DL book (like your one) to improve my knowledge? Or maybe it's better to read articles and dive into variety of Kaggle Kernels?
Hello thanks for the video how can i set the uvicorn host to be a public url please i want to build a sentiment api and i need to send the url to someone who can test it
I used pickle file to dump my model and build a fastapi webfile....but it is showing internal server error...what does this mean...I think I have written my code correctly. Can you please help me solve this. Thank you
Thanks for a very informative video. I have a small request, can you perhaps make a video handling sequences which exceeds the length of 512 tokens with BERT. Is it even possible to achieve it?
I have a question, the model will be trained each time you reload the api.py file? is there any method to save the model and use it without retraining again?
well, fastapi can be found by a simple google search. tez is here: github.com/abhishekkrthakur/tez i dont share code for many tutorials and expect viewers to implement and share them :) sometimes i share code and i clearly mention that i have.
@@abhishekkrthakur Thanks that's what I thought. And thanks for these videos. Very helpful for learning new libraries and I enjoy your teaching approach. I typically follow along on one screen in my own VS Code editor while I watch your videos on a 2nd screen. The community appreciates you!
Can you please guide me on how to access the server through SSR, and how to train the deep learning model with the high-performance server with ssh and a webpage? i will be very thankful if you and anyone here guide me about this
Whenever I was looking for any sort of trying out new things in ML. I just get the solution(idea to start) here. Thanks for your efforts. Looking forward to the next one.
Finally flask to FastAPI..... great stuff bhaii.
please make another video similar to this with a different case
This video is direct, fast and simple. Thank you man💯🔥
How would you compare to Streamlit?
Great video Abhishek :)
Looking forward to more FastAPI videos.
Really very informative video.
Get to know about FastApi, and ya now I will also shift to FastApi from flask 😅😅
Great example of Fastapi very well explained in a lucid way. Thank you.
Was looking for a video to make APIs out of my models. Got it , thanks !
Great Video! Could you make a deep learning life cycle video?
Always waiting for your videos♥️
Will huggingFace be openSource?
Brother what will be the changes for multi-class ??
Appreciate your great work to the community!
You always bring something new, great stuff, shukriya
so many things got cleared for me thank you
how to develop prototype in python for text classification
please help me
Super awesome. Thanks
I've liked your video. But I have a question, I already have a model and I wanted to perform get and post from another website with php. How can I achieve it?
Gonna do this practically 👍👍👍
What if you want to add html and css? Is there a tool to use with FastAPI?
+1
Can we upload images?
Great video.....
Thanks
Sir, any suggested video on deployment？ like wrappe this fastapi application to a docker image and serve on AWS or whatever is the best practice in the industry! Really need these kind of video. Thank you sir for making this great resource.
One year late but did you find anything? :)
Thank you Abhishek
Good video thanks😀
It's simple and cool video to start! Abhishek, I started learning ML and DL like 2 month ago. I've read your fantastic book and try some ongoing Kaggle competitions. I'd like to ask you to make video about different optimizers and schedulers. I have some problems with choosing right ones and hypertuning their parameters. Optuna helps me, but it's really takes a lot of time( Could you also recommend a great DL book (like your one) to improve my knowledge? Or maybe it's better to read articles and dive into variety of Kaggle Kernels?
Best introduction
Hello
thanks for the video
how can i set the uvicorn host to be a public url please
i want to build a sentiment api and i need to send the url to someone who can test it
What about an Object detection problem? Any resources I can look to do this using FastAPI?
I used pickle file to dump my model and build a fastapi webfile....but it is showing internal server error...what does this mean...I think I have written my code correctly. Can you please help me solve this. Thank you
Thanks for a very informative video. I have a small request, can you perhaps make a video handling sequences which exceeds the length of 512 tokens with BERT. Is it even possible to achieve it?
It's really great tutorial!
Great😋👍
How to get dark theme in swagger ui
Great video, your content is always great, glad I could learn from the master of the field himself
Thank you for your kind words. I'm just a learner :)
I have a question, the model will be trained each time you reload the api.py file? is there any method to save the model and use it without retraining again?
Please share git repo..
Which GitHub repo is this Abhishek?
well, fastapi can be found by a simple google search. tez is here: github.com/abhishekkrthakur/tez
i dont share code for many tutorials and expect viewers to implement and share them :) sometimes i share code and i clearly mention that i have.
@@abhishekkrthakur Thanks that's what I thought. And thanks for these videos. Very helpful for learning new libraries and I enjoy your teaching approach. I typically follow along on one screen in my own VS Code editor while I watch your videos on a 2nd screen. The community appreciates you!
Swagger
Can you please guide me on how to access the server through SSR, and how to train the deep learning model with the high-performance server with ssh and a webpage? i will be very thankful if you and anyone here guide me about this
With FastAPI I don't need to learn go or nodejs , with blazing super speed fastAPI is all I need to deploy ML app
My name is also Abhishek 😂😁
Miam miam 🤤