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Hugging Face AnsibleNo Hugging Face videos yet. You could help us improve this page by suggesting one.
Based on our record, Hugging Face seems to be a lot more popular than Ansible. While we know about 252 links to Hugging Face, we've tracked only 9 mentions of Ansible. 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.
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 / 13 days ago
The only requirement for this tutorial is to have an Hugging Face account. In order to get it:. - Source: dev.to / 19 days 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 / 26 days 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 / 25 days ago
New models can be added by downloading GGUF format models to the models sub-directory from https://huggingface.co/. - Source: dev.to / about 1 month ago
We are open to practice using any open-source project, however, we want to set a sharp focus on projects maintained by the Red Hat, and our own projects in the Caravana Cloud organization on github. If there is no reason to do differently, we'll build using technologies such as OpenShift, Quarkus, Ansible and related projects. - Source: dev.to / 10 months ago
*Codifying the deployment of the OTel Collector *(to Nomad, Kubernetes, or a VM) using tools such as Terraform, Pulumi, or Ansible. The Collector funnels your OTel data to your Observability back-end. ✅. - Source: dev.to / over 1 year ago
Most of what I've learnt today was purley from this blog and only because it's from ansible.com - dated now I guess ... Source: over 1 year ago
I installed the helm release using Ansible, but you can install with the following helm commands:. - Source: dev.to / almost 2 years ago
[root@ansible ~]# pip show ansible Name: ansible Version: 2.9.25 Summary: Radically simple IT automation Home-page: https://ansible.com/ Author: Ansible, Inc. Author-email: info@ansible.com License: GPLv3+ Location: /usr/lib/python2.7/site-packagesRequires: jinja2, PyYAML, cryptography Required-by:. Source: over 2 years ago
Replika - Your Ai friend
Chef - Automation for all of your technology. Overcome the complexity and rapidly ship your infrastructure and apps anywhere with automation.
LangChain - Framework for building applications with LLMs through composability
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