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Based on our record, Hugging Face seems to be a lot more popular than Thunar. While we know about 257 links to Hugging Face, we've tracked only 4 mentions of Thunar. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Thunar a blazingly-fast file manager with image & video previews, as well as plugins. Source: almost 2 years ago
I switched to Thunar because of this issue. It has very fast preview image loading, among other benefits. It seems well-integrated into Gnome, even though it is built primarily from the XFCE project. Source: about 2 years ago
Thunar xfce filemanager but works well in other DEs like plasma too. Source: over 2 years ago
Not sure how i3wm can help you with that. It would have to be implemented in Thunar itself. I would check Thunar's documentation first. Source: over 2 years ago
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 / 1 day ago
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 / 6 days ago
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 / 14 days ago
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 / 13 days ago
Hugging-face 🤗 is a repository to host all the LLM models available in the world. https://huggingface.co/. - Source: dev.to / 20 days ago
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