Hugging Face Reviews

0xProcessing Reviews

1. Barrie Grubb

   · Branch Manager at J & W Carpets · 26 days ago
   Easy to fit into our existing process

   We were looking for a way to accept crypto payments with no changes to the rest of our workflow. After reviewing payment gateways, 0xProcessing was deemed more feasible than others. The setup was simple and once it ran, never required day-to-day attention. The ability to create payment requests is hassle-free and clear for daily transaction uses; hence, there is no confusion.

   🏁 Competitors: CoinGate, RIZON

   👍 Pros:    Quick to get started|Supports multiple cryptocurrencies|Simple payment request|Clear transaction status

   👎 Cons:    More detailed reporting would be useful|Dashboard customization is limited
2. Cimin Cohen

   · Founder and CEO at Idea Peddler · about 1 month ago
   The goal is to move BitPay in order to utilize it globally.

   Following numerous payment drops and unexpected compliance holds with BitPay, we switched our primary checkout flow to 0xProcessing. Our global clients rely on cross-border technology, services, and products. We needed a payment gateway that is used to handling payment processing and won’t raise flags about something this usual. Actually the onboarding as merchant was quite easy. The API integration into Vettrack’s custom billing stack has taken the dev team the best part of about two afternoons and the docs don’t leave much to the imagination.

   To run its day-to-day operations, Stable is used. We rely heavily on this payment links feature, which is completely automated. The VRCS feature converts incoming volatile assets to stablecoins automatically. The latter aspect alone has given adequate protection to our margins during the dips which get tied up in the afternoon. The 18 supported networks includes nearly everything our clients use. The processing time in so minimal, and we have still yet to have our first chargeback or false fraud flag since we started using it. The interface is effective but has glitches.

   🏁 Competitors: BitPay, CoinGate, RIZON, Coinbase

   👍 Pros:    Vrcs effectively mitigates market volatility risk|Supports a wide range of native tokens and|Transparent fee structure with no hidden billing surprises

   👎 Cons:    Ui dashboard feels overly basic for complex financial analysis|No native fiat payout options available
3. Ahsanul Hasan Amit

   · CEO and Founder at Dream Workers Tech · about 1 month ago
   A practical option for making crypto payments on occasion.

   Since we don't usually process such payments, we weren’t looking for one that was equipped with many sophisticated tools. The first things were reliability and setup that shouldn’t be hard to get used to.

   After looking at a number of options Fireblocks included we found 0xProcessing easier to work with. The on-boarding process was simple and the documentation covered the majority of our needs. It has been doing its job with no additional work since implementation.

   🏁 Competitors: CoinGate, Fireblocks, BitPay

   👍 Pros:    Straightforward on-boarding|Supports several networks|Easy to understand pricing

   👎 Cons:    Limited analytics|Few dashboard customization options

Hugging Face mentions (327)

• VIDRAFT Releases Aether-7B-5Attn: A Fully Open-Source MoE LLM with Five Heterogeneous Attention Mechanisms

  Both the base and instruct variants of Aether-7B-5Attn, plus a live interactive demo, are publicly available on Hugging Face. Search for VIDRAFT or Aether-7B-5Attn on huggingface.co to find the model cards and repository. - Source: dev.to / 2 days ago

• Integration with Hugging Face Inference API

  Hugging Face hosts thousands of open models for NLP, vision, and other tasks. The Inference API (via Inference Providers) lets you call those models over HTTP. The @huggingface/inference package from huggingface.js is the Node.js client. - Source: dev.to / about 2 months ago

• How I built pairwise AI model compare pages with Claude Haiku and a budget cap

  Right now, I don't. If model foo is deleted from HuggingFace but its compare rows are still in the DB, those compare pages will still be served at build time. They'll have the old data until the model's row in models.json is removed — which only happens if the model falls out of the top-500 in the nightly fetch. It's a known gap. For now, the risk is low; popular models don't disappear. A more robust system would... - Source: dev.to / 2 months ago

• How I built AI Services on Apify Using LLMs

  Apify turned out to be an excellent platform for building multi-agent systems(MAS). It allows seamless integration with modern agentic frameworks like LangGraph, CrewAI, TogetherAI, and Hugging Face. - Source: dev.to / 2 months ago

• AI Gave the Solo Creator a Studio. The Studio Is Rented.

  The garage is not the network. ComfyUI is a workbench. It does not describe how a workflow assembled in it travels to another workbench, what license attaches to the intermediate frames, or who in a multi-tool pipeline counts as the author of the result. Hugging Face is the closest thing the field has to a shared hub for models and datasets, and is a remarkable piece of community infrastructure, and is also a... - Source: dev.to / 2 months ago

0xProcessing mentions (0)