Difference between revisions of "Hugging Face"

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* [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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** [https://laion.ai/ LAION]
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** [https://huggingface.co/ontocord Ontocord]
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<youtube>eqOSQeQNqaw</youtube>
 
<youtube>eqOSQeQNqaw</youtube>

Revision as of 11:46, 12 March 2023

YouTube search... ...Google search


HuggingFace NLP Library - Open Parallel Corpus (OPUS)

Hugging Face

OPUS is a growing collection of translated texts from the web. In the OPUS project we try to convert and align free online data, to add linguistic annotation, and to provide the community with a publicly available parallel corpus. OPUS is a project undertaken by the University of Helsinki and global partners to gather and open-source a wide variety of language data sets. OPUS is based on open source products and the corpus is also delivered as an open content package. We used several tools to compile the current collection. All pre-processing is done automatically. No manual corrections have been carried out. The OPUS collection is growing! ... OPUS the open parallel corpus