Difference between revisions of "Hugging Face"
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[https://www.youtube.com/results?search_query=Hugging+Face+deep+machine+learning+ML+artificial+intelligence YouTube search...] | [https://www.youtube.com/results?search_query=Hugging+Face+deep+machine+learning+ML+artificial+intelligence YouTube search...] | ||
| − | [ | + | [https://www.google.com/search?q=Hugging+Face+deep+machine+learning+ML+artificial+intelligence ...Google search] |
* [https://huggingface.co/ Hugging Face] | * [https://huggingface.co/ Hugging Face] | ||
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== HuggingFace NLP Library - Open Parallel Corpus (OPUS) == | == HuggingFace NLP Library - Open Parallel Corpus (OPUS) == | ||
| − | * [ | + | * [https://venturebeat.com/2020/05/16/hugging-face-dives-into-machine-translation-with-release-of-1000-models/ [[Hugging Face]] dives into machine translation with release of 1,000 models | Khari Johnson - VentureBeat] |
| − | * [ | + | * [https://towardsdatascience.com/build-your-own-machine-translation-service-with-transformers-d0709df0791b Build Your Own Machine Translation Service with Transformers Using the latest Helsinki NLP models available in the Transformers library to create a standardized machine translation service | Kyle Gallatin - Towards Data Science] |
[[Hugging Face]] | [[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 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 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! | ||
| − | [ | + | [https://opus.nlpl.eu/ ... OPUS the open parallel corpus] |
<youtube>G3pOvrKkFuk</youtube> | <youtube>G3pOvrKkFuk</youtube> | ||
<youtube>G5lmya6eKtc</youtube> | <youtube>G5lmya6eKtc</youtube> | ||
Revision as of 17:42, 28 March 2023
YouTube search... ...Google search
- Hugging Face
- Hugging Face course
- Reinforcement Learning (RL) from Human Feedback (RLHF)
- 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.
HuggingFace NLP Library - Open Parallel Corpus (OPUS)
- Hugging Face dives into machine translation with release of 1,000 models | Khari Johnson - VentureBeat
- Build Your Own Machine Translation Service with Transformers Using the latest Helsinki NLP models available in the Transformers library to create a standardized machine translation service | Kyle Gallatin - Towards Data Science
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
