have i been pwned?
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have i been pwned? Hugging FaceBased on our record, have i been pwned? seems to be a lot more popular than Hugging Face. While we know about 3670 links to have i been pwned?, we've tracked only 253 mentions of Hugging Face. 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.
Does her email show up on any leaks on https://haveibeenpwned.com/ ? I'm wondering if not publishing it would have made any difference to receiving phishing messages. - Source: Hacker News / 6 days ago
> in hacked datadumps https://haveibeenpwned.com/ 45 data breaches and 7 pastes Wow, I don't know if I've ever seen a real address in so many breaches haha. - Source: Hacker News / 6 days ago
HIBP provides a free service to check if a user's password has been compromised in a data breach. The HIBP API can be integrated into the sign-in or password update services to notify users that the password has been compromised. Ideally, when updating a password with a known compromised password, the service would block that password from being used with helpful information. HIBP doesn't publish the companies... - Source: dev.to / 16 days ago
This is a great site for checking current and monitoring future breaches: https://haveibeenpwned.com/. - Source: Hacker News / about 2 months ago
I've been with AT&T since they merged with Cingular in 2006, and according to https://haveibeenpwned.com/ I'm not included in this dump. - Source: Hacker News / 2 months ago
Hugging-face 🤗 is a repository to host all the LLM models available in the world. https://huggingface.co/. - Source: dev.to / 2 days ago
HuggingFaceEmbeddings is a function that we use for converting our documents to vector which is called embedding, you can use any embedding model from huggingface, it will load the model on your local computer and create embeddings(you can use external api/service to create embeddings), then we just pass this to context and create index and store them into folder so we can reuse them and don't need to recalculate it. - Source: dev.to / about 1 month ago
The only requirement for this tutorial is to have an Hugging Face account. In order to get it:. - Source: dev.to / about 1 month ago
Finally, you'll need to download a compatible language model and copy it to the ~/llama.cpp/models directory. Head over to Hugging Face and search for a GGUF-formatted model that fits within your device's available RAM. I'd recommend starting with TinyLlama-1.1B. - Source: dev.to / about 1 month ago
At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / about 1 month ago
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