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In this video on hugging face we're diving into the world of Hugging Face, a leading tool in Natural Language Processing (NLP). We'll begin by introducing Hugging Face and its revolutionary impact on NLP. With its extensive library, Transformers, Hugging Face makes it easy for developers and researchers to integrate state-of-the-art machine-learning models into their projects. You'll get a firsthand look at three exciting demos: Speech-to-Text, where we'll convert spoken words into written text quickly and accurately; Sentiment Analysis, to determine if a text is positive, negative, or neutral; and Text Generation, which allows us to create human-like text that fits the context. Additionally, we'll cover essential concepts like pipelines and tokenization, which simplify using different models and break text into smaller, understandable parts. By the end of this video, you'll be equipped to use Hugging Face in your own projects.
Below are the topics covered in this hugging face project video:
00:00 Introduction To hugging Face
02:25 Speech To Text hugging Face
08:02 Sentiment Analysis Hugging Face
39:40 Text Generation Using Hugging Face
✅What is the Hugging Face library?
The huggingface_hub library allows you to interact with the Hugging Face Hub, a machine learning platform for creators and collaborators. Discover pre-trained models and datasets
✅Why is Hugging Face so popular?
Hugging Face is popular mainly because of the “Hugging Face hub,” which provides AI/ML researchers with access to thousands of curated datasets, machine learning models, and AI-powered demo apps
✅Is Hugging Face AI?
Hugging Face – The AI community building the future.
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➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
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