Text Summarization using T5: Fine-Tuning and Building Gradio App
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Join us in our latest tutorial as we enhance the T5 model for text summarization, utilizing the comprehensive BBC news summary dataset. Learn how to effectively fine-tune and deploy the T5 model with Gradio for real-world applications.
In this video, we cover:
Fine-tuning the T5 model on the BBC news summary dataset.
Detailed guide to installing necessary libraries and setting up your environment.
Steps to preprocess, tokenize, and train the model for optimal summarization.
Demonstrating the deployment process with Gradio to bring your model into action.
💡 What You’ll Learn:
Fine-tuning T5 on a text summary dataset.
Preprocessing and tokenizing data for the T5 model.
Deploying the model with Gradio for interactive text summarization.
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Tell us in the comments what you want to learn next and subscribe for more tutorials!
🔗Resources:
🚀 Join Us - 🖥️ On our blog - https://learnopencv.com we also share tutorials and code on topics like Image Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow.
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🔖Hashtags🔖
#T5Model #TextSummarization #MachineLearning #Gradio #NLP #AI #OpenCVUniversity #DeepLearning #AIModelDeployment #TechEducation #TechTutorial #Deeplearning
📚 Check out our FREE Courses at OpenCV University : https://opencv.org/university/free-co...
Join us in our latest tutorial as we enhance the T5 model for text summarization, utilizing the comprehensive BBC news summary dataset. Learn how to effectively fine-tune and deploy the T5 model with Gradio for real-world applications.
In this video, we cover:
Fine-tuning the T5 model on the BBC news summary dataset.
Detailed guide to installing necessary libraries and setting up your environment.
Steps to preprocess, tokenize, and train the model for optimal summarization.
Demonstrating the deployment process with Gradio to bring your model into action.
💡 What You’ll Learn:
Fine-tuning T5 on a text summary dataset.
Preprocessing and tokenizing data for the T5 model.
Deploying the model with Gradio for interactive text summarization.
📺 Liked this tutorial?
Tell us in the comments what you want to learn next and subscribe for more tutorials!
🔗Resources:
🚀 Join Us - 🖥️ On our blog - https://learnopencv.com we also share tutorials and code on topics like Image Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow.
🤖 Learn from the experts on AI: Computer Vision and AI Courses
You have an opportunity to join the over 10K+ (and counting) researchers, engineers, and students that have benefited from these courses and take your knowledge of computer vision, AI, and deep learning to the next level.🤖
https://opencv.org/university/courses/
#️⃣ Connect with Us #️⃣
📝 Linkedin: LinkedIn: satyamallick
📱 Twitter: Twitter: LearnOpenCV
🔊 Facebook: https://www.facebook.com/profile.php?...
📸 Instagram: Instagram: learnopencv
🔗 Reddit: Reddit: spmallick
🔖Hashtags🔖
#T5Model #TextSummarization #MachineLearning #Gradio #NLP #AI #OpenCVUniversity #DeepLearning #AIModelDeployment #TechEducation #TechTutorial #Deeplearning
5 ماه پیش
در تاریخ 1403/02/03 منتشر شده
است.
434
بـار بازدید شده