
Explore the JavaScript version of Hugging Face Transformers.js, covering 17 AI tasks across natural language processing, computer vision, and audio, all via client-side web pages.
Learn to build a browser-based UI template using vanilla JavaScript and the Hugging Face Transformers JS library, with Bootstrap, HTML, and CSS, for NLP, computer vision, and audio tasks.
Explore sentiment analysis and text classification with Transformers JS, using the pipeline to analyze single or multiple statements and optionally load default or custom models.
Master zero-shot classification, a text labeling method that assigns unseen categories using context and semantics, via transformer js library. See real-time categorization from articles to user feedback, with multi-label support.
Explore token classification, or named entity recognition, by identifying Sarah as a person and London as a location with a bert base ner pipeline.
Explore the fill mask task, where a sentence with a blank prompts a model to predict the best word via a transformers.js pipeline using Bert base uncased.
Learn text generation in natural language processing by building prompts and generating human-like, creative continuations with the Distill GPT-2 model using the transformers.js pipeline.
Learn question answering in JavaScript by extracting concise answers from a given context with a Distilbert base uncased distilled squad model from Xenova, then set up and run the pipeline.
Explore automated text summarization using a transformers.js pipeline with Xenova Distilbert CNN 6-6, generating concise summaries by setting max tokens to 100 for JavaScript workflows.
Explore text-to-text generation in NLP, transforming input text into output text for tasks like translation, summarization, and question answering, using a Xenova transformers pipeline with a mini 25783M model.
Learn how Transformers.js enables a pipeline-based translation using free AI models for JavaScript, transforming Hindi to French and Chinese to English with semantic accuracy and contextual relevance.
Explore how tokenizers and models, from auto tokenizer to auto model, enable translation tasks in JavaScript by encoding inputs, running models, and decoding outputs with the T5 small model.
Explore image classification in machine learning and computer vision using a pipeline with the Vit Base Path 16 2 to 4 model to predict labels and confidence, with top guesses.
Explore zero shot image classification with the transformers.js pipeline, using the Nova Lab VIP base batch 32 model to link images to labels by semantic context. The tiger example shows near perfect confidence.
Detects and localizes objects in images using bounding boxes with coordinates and high confidence scores, demonstrated with a transformers.js object detection pipeline and a resnet-50 model set to 0.9 threshold.
Convert images to text using an image to text pipeline and captioner to generate concise descriptions, supporting accessibility and improving content findability.
Explore automatic speech recognition using the whisper tiny English model to transcribe audio, produce timestamps, and handle long files by 30-second chunks with overlap via transformer.js.
Explore automatic speech recognition for non English audios using a simple JavaScript object to specify language and task to transcribe or translate, including translating French audio to English.
Classify audio content using models trained on labeled categories via a pipeline, as shown by a male-vs-female voice classifier handling online URLs and local files.
Overview:
Dive into the transformative world of AI in web development! With this course, not only will you grasp the essence of the Hugging Face's Transformers.js library within the JavaScript ecosystem, but you'll also master the art of embedding 17 distinct AI tasks straight into your web projects.
Key Takeaways:
Delve deep into the significance and capabilities of Hugging Face's Transformers.js in the realm of JavaScript.
Equip yourself with the prowess to execute 17 unique AI tasks, spanning across Natural Language Processing, Computer Vision, and Audio, all using Vanilla JavaScript.
Integrate state-of-the-art AI models seamlessly into both frontend for instantaneous responses and backend where intricate server-side logic is a must.
Harness the core functionalities of the Transformers.js library and understand their invaluable role in the vast web development landscape.
Prerequisites:
Basic knowledge of HTML and CSS.
Familiarity with JavaScript.
Some understanding of front-end development.
Who Should Enroll?
Web Developers: Elevate your web projects by intertwining them with AI capabilities. This is especially crafted for JavaScript enthusiasts aiming to blend conventional web design with modern AI features.
AI Admirers: Been fascinated by AI? Now's your chance to infuse it into web platforms. This course is your bridge, making AI not just fascinating, but also applicable using JavaScript.
Frontend Architects: Those at the helm of designing web applications will cherish the insights into integrating AI seamlessly, ensuring users are treated to an immersive experience.
Backend Developers: While the core is frontend-oriented, backend scenarios aren't left behind. Grasp how JavaScript can be used to enhance server-side functionalities with AI.
Course Breakdown:
Section 1: Getting Started
Exploring Hugging Face Transformers.js (Covering NLP, Computer Vision, Audio).
The Blueprint: A Glimpse into the User Interface.
Section 2: Transformers.js Fundamentals - Natural Language Processing
From sentiment analysis to intricate translations, explore how text and language can be understood and manipulated.
Section 3: Transformers.js Fundamentals – Computer Vision
Dive into image classifications, object detections, and more to understand how AI perceives visuals.
Section 4: Transformers.js Fundamentals – Audio
Delve into speech recognition and audio classifications, understanding how AI listens and processes sounds.
Join us as we tread this enlightening path, understanding not just the theory, but the practicality of integrating AI with web development through JavaScript. Whether you're a novice or an expert, by the end of this journey, you'll be equipped with an arsenal of skills, ready to revolutionize your web projects!