Contentful Reviews

1. Eleanor Bennett

   | Digital Marketing Specialist at Logit.io | about 2 years ago
   Very generous free plan

   The free plan of Contentful is generous enough to allow us to run a successful technology blog without having to pay for any overheads to run it. We used them as an alternative to the previously used Ghost. We have experienced a lot of growth since this migration.

   🏁 Competitors: Ghost

Hugging Face Reviews

Contentful mentions (9)

• My blog post workflow

  Next, I’ll copy and paste the draft text to my CMS. I’ve been using Contentful since working there in 2021. I use Rich Text rather than Markdown for my posts and what’s great about this is that copying and pasting from Notion preserves hyperlinks and formatting. If I’m including anything else like code samples, images and other embedded media, I add those as separate linked entries manually whilst working through... - Source: dev.to / 3 months ago

• How to Style Markdown in Next.JS Using React-Markdown and SASS

  If you have a blog or website with articles or long text documents, markdown is your friend. It makes authoring documents so much easier and more intuitive than straight HTML. Markdown has a far smaller learning curve than HTML and can easily be taught to non-tech-savvy writers. Markdown editors are also built-in to headless CMSs like Contentful. - Source: dev.to / over 1 year ago

• Looking to Create a Wordpress Style Website with Python / Flask

  It depends on the requirements, but this might actually call for a headless CMS like Forestry.io or Contentful coupled with a Static Site Generator like Hugo. The CMS will manage users/permissions/data hierarchy and provide a simple frontend for users to add content, lay out pages, etc. And then when they save a change, the SSG will re-run and render everything to static HTML/CSS/JS. Source: almost 2 years ago

• How to Create a Blog Using Next.js and Contentful CMS

  Contentful is a headless content management system (CMS). Headless simply means there is no front-end to display the content to the consumer. It's basically a database, but much easier to setup and maintain than a traditional relational database. Contentful provides a very easy-to-use API for fetching and managing content. They also support GraphQL queries if you're into that. - Source: dev.to / about 2 years ago

• Test Post Dev To

  Contentful has become my favorite Headless CMS. I use it to generate static web pages, this blog, and storing other forms of data, such as user profiles. - Source: dev.to / about 2 years ago

Hugging Face mentions (258)

• Generating replies using Huggingface interference and Mistrial in NestJS

  Log in to your Huggingface account at https://huggingface.co. Click Access Token in the menu to generate a new token. - Source: dev.to / 5 days ago

• Vector search in Manticore

  While looking into how to create text embeddings quickly and directly, we discovered a few helpful tools that allowed us to achieve our goal. Consequently, we created an easy-to-use PHP extension that can generate text embeddings. This extension lets you pick any model from Sentence Transformers on HuggingFace. It is built on the CandleML framework, which is written in Rust and is a part of the well-known... - Source: dev.to / 11 days ago

• Understanding GPT: How To Implement a Simple GPT Model with PyTorch

  These libraries are fundamental for building and training our GPT model. PyTorch is a deep learning framework that provides flexibility and speed, while the Transformers library by Hugging Face offers pre-trained models and tokenizers, including GPT-2. - Source: dev.to / 15 days ago

• Building a Simple Chatbot using GPT model - part 2

  Hugging Face is a company and community platform making AI accessible through open-source tools, libraries, and models. It is most notable for its transformers Python library, built for natural language processing applications. This library provides developers a way to integrate ML models hosted on Hugging Face into their projects and build comprehensive ML pipelines. - Source: dev.to / 24 days ago

• Add Vector Search to Your Site

  We will use the OpenAI embeddings API to convert the content of the blog posts into vector embeddings. You will need to sign up for an API key on the OpenAI website to use the API. You will need to provide your credit card information as there is a cost associated with using the API. You can review the pricing on the OpenAI website. There are alternatives to generate embeddings. Hugging Face provides... - Source: dev.to / 22 days ago