Difference between revisions of "Hugging Face"
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[https://www.bing.com/news/search?q=ai+Hugging+Face...X&qft=interval%3d%228%22 ...Bing News] | [https://www.bing.com/news/search?q=ai+Hugging+Face...X&qft=interval%3d%228%22 ...Bing News] | ||
− | * [https://huggingface.co/ Hugging Face] | + | * [https://huggingface.co/ Hugging Face] ... The AI community building the future |
− | * [[ | + | * [https://huggingface.co/platform Private Hub] |
+ | ** [https://huggingface.co/docs/hub/main Hugging Face Hub documentation] | ||
* [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)]] | * [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)]] | ||
* [https://www.youtube.com/watch?v=00GKzGyWFEs&list=PLo2EIpI_JMQvWfQndUesu0nPBAtZ9gP1o Hugging Face course] | * [https://www.youtube.com/watch?v=00GKzGyWFEs&list=PLo2EIpI_JMQvWfQndUesu0nPBAtZ9gP1o Hugging Face course] | ||
− | * [ | + | * [https://bytexd.com/what-is-hugging-face-beginners-guide What is Hugging Face - A Beginner's Guide | ByteXD] ... allows users to share machine learning models and datasets |
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+ | Hugging Face is an American company that develops tools for building applications using machine learning. It is most notable for its transformers library built for natural language processing applications and its platform that allows users to share machine learning models and datasets. Hugging Face is a community and a platform for artificial intelligence and data science that aims to democratize AI knowledge and assets used in AI models. The platform allows users to build, train and deploy state of the art models powered by open source machine learning. It also provides a place where a broad community of data scientists, researchers, and ML engineers can come together and share ideas, get support and contribute to open source projects. Is there anything else you would like to know? - [https://en.wikipedia.org/wiki/Hugging_Face Wikipedia] | ||
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+ | <youtube>eqOSQeQNqaw</youtube> | ||
+ | <youtube>agwbNgxwkHc</youtube> | ||
+ | <youtube>QEaBAZQCtwE</youtube> | ||
+ | <youtube>8xYYvO7LGBw</youtube> | ||
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+ | = Hugging Face Community = | ||
+ | * [https://towardsdatascience.com/whats-hugging-face-122f4e7eb11a What's Hugging Face? An AI community for sharing ML models and datasets] | ||
+ | * [[Agents#HuggingGPT|HuggingGPT]] ... in partnership with [[Microsoft]] | ||
* [https://www.topbots.com/pretrain-transformers-models-in-pytorch/ Pretrain Transformers Models in PyTorch Using Hugging Face Transformers | George Mihaila - TOPBOTS] | * [https://www.topbots.com/pretrain-transformers-models-in-pytorch/ Pretrain Transformers Models in PyTorch Using Hugging Face Transformers | George Mihaila - TOPBOTS] | ||
* [https://www.together.xyz/blog/openchatkit OpenChatKit | TogetherCompute] ... The first open-source [[ChatGPT]] alternative released; a 20B chat-GPT model under the Apache-2.0 license, which is available for free on Hugging Face. | * [https://www.together.xyz/blog/openchatkit OpenChatKit | TogetherCompute] ... The first open-source [[ChatGPT]] alternative released; a 20B chat-GPT model under the Apache-2.0 license, which is available for free on Hugging Face. | ||
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** [[FLAN-T5 LLM]] | ** [[FLAN-T5 LLM]] | ||
− | + | == <span id="LightGPT"></span>LightGPT == | |
− | + | * [https://huggingface.co/amazon/LightGPT amazon/LightGPT] | |
− | + | * [https://huggingface.co/amazon/LightGPT/blob/main/README.md README.md · amazon/LightGPT] | |
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− | + | LightGPT is a language model developed by AWS Contributors. It is based on GPT-J 6B and was instruction fine-tuned on the high-quality, Apache-2.0 licensed OIG-small-chip instruction dataset with ~200K training examples. The model is designed to generate text based on a given instruction, and it can be deployed to [[Amazon]] [[SageMaker]] | |
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Revision as of 05:13, 15 June 2023
YouTube ... Quora ...Google search ...Google News ...Bing News
- Hugging Face ... The AI community building the future
- Private Hub
- Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)
- Hugging Face course
- What is Hugging Face - A Beginner's Guide | ByteXD ... allows users to share machine learning models and datasets
Hugging Face is an American company that develops tools for building applications using machine learning. It is most notable for its transformers library built for natural language processing applications and its platform that allows users to share machine learning models and datasets. Hugging Face is a community and a platform for artificial intelligence and data science that aims to democratize AI knowledge and assets used in AI models. The platform allows users to build, train and deploy state of the art models powered by open source machine learning. It also provides a place where a broad community of data scientists, researchers, and ML engineers can come together and share ideas, get support and contribute to open source projects. Is there anything else you would like to know? - Wikipedia
Hugging Face Community
- What's Hugging Face? An AI community for sharing ML models and datasets
- HuggingGPT ... in partnership with Microsoft
- Pretrain Transformers Models in PyTorch Using Hugging Face Transformers | George Mihaila - TOPBOTS
- OpenChatKit | TogetherCompute ... The first open-source ChatGPT alternative released; a 20B chat-GPT model under the Apache-2.0 license, which is available for free on Hugging Face.
- LAION
- Ontocord
- Wolfram ChatGPT
- FLAN-T5 LLM
LightGPT
LightGPT is a language model developed by AWS Contributors. It is based on GPT-J 6B and was instruction fine-tuned on the high-quality, Apache-2.0 licensed OIG-small-chip instruction dataset with ~200K training examples. The model is designed to generate text based on a given instruction, and it can be deployed to Amazon SageMaker