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Based on our record, Hugging Face seems to be a lot more popular than BLOOM. While we know about 257 links to Hugging Face, we've tracked only 5 mentions of BLOOM. 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.
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 / about 3 hours 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 / 4 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 / 13 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 / 12 days ago
Hugging-face 🤗 is a repository to host all the LLM models available in the world. https://huggingface.co/. - Source: dev.to / 19 days ago
According to https://huggingface.co/bigscience/bloom it has 70 layers, so that's not a perfect split, but even so that should still fit. Source: 12 months ago
It's notable that Hugging Face's BLOOM (https://huggingface.co/bigscience/bloom) might already be compliant (ignoring the 'member states' requirement which I'm sure they could comply with easily enough, it's about disclosing EU member where the model is on the market, so them simply listing all EU countries in a doc somewhere may suffice). Some may be tempted to point at the lower scores of OpenAI, Google and... - Source: Hacker News / 12 months ago
I've been reading a lot of the latest posts on hacker news, but a little lost on where to actually start. I'd like to run something on my local macbook pro to play around and does anyone have recommendation of like a top 5 links of who to follow and what to play with? So far I've seen things like https://huggingface.co/bigscience/bloom. - Source: Hacker News / 12 months ago
They do, and they did. It's called BLOOM and it comes in sizes up to 176B parameters. See: https://huggingface.co/bigscience/bloom. - Source: Hacker News / about 1 year ago
ChatGPT is a GPT-3.5 model according to OpenAI Docs. So it has 175 billion parameters. For the architecture, people said BLOOM is likely the nearest alternative to GPT-3/3.5 models. Source: about 1 year ago
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