Hugging Face Reviews and details

Social recommendations and mentions

• Streamlining ML Workflows: Integrating KitOps and Amazon SageMaker

  Compatibility with standard tools: Functions with OCI-compliant registries such as Docker Hub and integrates with widely-used tools including Hugging Face, ZenML, and Git. - Source: dev.to / 4 days ago

• Building a Full-Stack AI Chatbot with FastAPI (Backend) and React (Frontend)

  Hugging Face's Transformers: A comprehensive library with access to many open-source LLMs. https://huggingface.co/. - Source: dev.to / 26 days ago

• Blog Draft Monetization Strategies For Ai Technologies 20250416 222218

  Hugging Face provides licensing for their NLP models, encouraging businesses to deploy AI-powered solutions seamlessly. Learn more here. Actionable Advice: Evaluate your algorithms and determine if they can be productized for licensing. Ensure contracts are clear about usage rights and application fields. - Source: dev.to / about 1 month ago

• How to Create Vector Embeddings in Node.js

  There are lots of open-source models available on HuggingFace that can be used to create vector embeddings. Transformers.js is a module that lets you use machine learning models in JavaScript, both in the browser and Node.js. It uses the ONNX runtime to achieve this; it works with models that have published ONNX weights, of which there are plenty. Some of those models we can use to create vector embeddings. - Source: dev.to / about 2 months ago

• Building with Gemma 3: A Developer's Guide to Google's AI Innovation

  From transformers import pipeline Import torch Pipe = pipeline( "image-text-to-text", model="google/gemma-3-4b-it", device="cpu", torch_dtype=torch.bfloat16 ) Messages = [ { "role": "system", "content": [{"type": "text", "text": "You are a helpful assistant."}] }, { "role": "user", "content": [ {"type":... - Source: dev.to / about 2 months ago

• The 3 Best Python Frameworks To Build UIs for AI Apps

  Gradio is an open-source Python library from Hugging Face that allows developers to create UIs for LLMs, agents, and real-time AI voice and video applications. It provides a fast and easy way to test and share AI applications through a web interface. Gradio offers an easy-to-use and low-code platform for building UIs for unlimited AI use cases. - Source: dev.to / about 2 months ago

• Hugging Face for AI Enthusiasts: A Comprehensive Walkthrough!

  We are going to explore multiple ways to work with Hugging Face. The first way will be through https://huggingface.co/ website. Before you start using it, you must create an account there. - Source: dev.to / 2 months ago

• Move Your Hugging Face LLM to S3 Like a Pro (Without Wasting Local Space!) 🚀

  s3_client = boto3.client('s3') # CHANGE this to your bucket BUCKET_NAME = 'your-s3-bucket-name' # CHANGE this to your bucket MODEL_PATH = "deepseek" # Make sure you have enough space! SAVE_DIR = "/home/sagemaker-user/" # CHANGE from your selected model at https://huggingface.co/ Repo_id = "deepseek-ai/DeepSeek-R1-Distill-Llama-70B". - Source: dev.to / 2 months ago

• How to run Large Language Models (LLMs) locally.

  You will need to go to HuggingFace to select the model GGUF (GPT-Generated Unified Format) link. In this case, we'll use unsloth/DeepSeek-R1-GGUF link (https://huggingface.co/unsloth/DeepSeek-R1-Distill-Llama-8B-GGUF). - Source: dev.to / 2 months ago

• What is LangGraph and How to Use It for Building AI Agents

  You can run this locally or using the Hugging Face space below, this is the URL to access the swagger API for this example https://jstoppa-langgraph-basic-example-api.hf.space/docs, the API has an end point to run the agent and it returns the messages we've seen in our previous example (see below the results). In simple words, the API has an end point to run the agent and it returns the messages we've seen in our... - Source: dev.to / 3 months ago

• Learning and Implementing RAG (Retrieval-Augmented Generation) using Hugging Face and LangChain

  Hugging Face: A platform for accessing and using open-source LLMs. - Source: dev.to / 3 months ago

• Running deepseek locally, Ollama and langchain

  Hugging Faceis an AI developers community that provides top-rated LLM models for all kinds of tasks such as text-to-audio speech, text translation models, object detection and computer vision models. If you are new to those technologies do not get frustrated, here is the easier explanation. - Source: dev.to / 3 months ago

• The Yoga of Image Generation – Part 1

  The open availability of these models has fostered a dynamic and contributing ecosystem. A community has emerged around fine-tuned versions and additional models like Refiners, Upscalers, ControlNets, and Low-Rank Adapters (which will be introduced in this series). This vibrant community also offers tools like user-friendly interfaces to interact with the models (such as Automatic1111 Web UI or ComfyUI) and tools... - Source: dev.to / 3 months ago

• Leverage open models like Gemma 2 on GKE with LangChain

  To be able to use the Gemma 2 model, you first need a Hugging Face account. Start by creating one if you don't already have one, and create a token key with read permissions from your settings page. Make sure to note down the token value, which we'll need in a bit. - Source: dev.to / 3 months ago

• Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0

  The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago

• Accelerating ML Development with DevPods and ModelKits

  Seamless integration: Works with OCI-compliant registries (e.g., Docker Hub and Jozu Hub) and integrates with popular tools like HuggingFace, ZenML, and Git. - Source: dev.to / 4 months ago

• Harnessing the Power of Hugging Face Transformers for Machine Learning

  In recent years, Hugging Face [https://huggingface.co/] has emerged as one of the most influential platforms in the machine learning community, providing a wide range of tools and resources for developers and researchers. One of its most notable offerings is the Transformers library, which makes it easier to leverage state-of-the-art models, datasets, and applications. This library enables users to seamlessly... - Source: dev.to / 4 months ago

• 🎈5 AI Coding Tools That Will Change the Way You Develop Forever🎇(You Won't Believe #3!)

  Hugging Face is an open-source machine learning platform that’s not just for data scientists but also for developers. With its pre-trained models and an environment to build AI-driven applications, Hugging Face can help developers generate code, understand data, and even deploy AI solutions. - Source: dev.to / 4 months ago

• Machine learning for web developers

  Similar to "Kaggle" I mentioned earlier, when it comes to models, one of the best places to find pre-trained models is HuggingFace. - Source: dev.to / 5 months ago

• Engineering of Small Things #3 : Small Language Models

  This was for a hackathon project where I was trying to use @streamlit & HuggingFace , I never even had a hugging face account & had only basic tutorial level experience on @streamlit . But I really wanted to learn & implement something on my own. I was tired of following tutorials & it didn't matter if it was a standard solution or not! - Source: dev.to / 5 months ago

• Deploying AI Models with Amazon Web Services: A Practical Guide

  Hugging Face (Hugging Face Hub) played a significant role in this journey. As a leading platform for sharing pre-trained AI models and datasets, Hugging Face provided access to a wide range of resources. From discovering datasets to fine-tuning models, the platform proved invaluable for quickly iterating and adapting Stable Diffusion to our project’s needs. - Source: dev.to / 5 months ago