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Hugging Face: Difference between revisions
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*High-level computer vision and audio tasks. <ref name="”1”"></ref> | *High-level computer vision and audio tasks. <ref name="”1”"></ref> | ||
The company is known for its contributions to the field of NLP. Its NLP tasks include text classification and generation, translation, summarization, fill-mask, question-answering, [[zero-shot]] classification and sentence similarity. Regarding audio tasks, it includes speech recognition, text-to-speech, automatic speech recognition, and audio classification. <ref name="”3”"></ref> | The company is known for its contributions to the field of NLP. Its NLP tasks include [[text classification]] and [[text generation|generation]], [[translation]], [[summarization]], [[fill-mask]], [[question-answering]], [[zero-shot]] [[classification]] and [[sentence similarity]]. Regarding [[audio]] tasks, it includes [[speech recognition]], [[text-to-speech]], [[automatic speech recognition]], and [[audio classification]]. <ref name="”3”"></ref> | ||
From its beginnings has a chatbot, it’s becoming the GitHub of ML. The platform offers 100,000 pre-trained models and 10,000 datasets for NLP, speech, computer vision, time-series, biology, [[reinforcement learning]], chemistry, and others. <ref name="”7”">Krishna, S (2022). Hugging Face takes step toward democratizing AI and ML. VentureBeat. https://venturebeat.com/ai/hugging-face-steps-toward-democratizing-ai-and-ml-with-latest-offering%EF%BF%BC/</ref> Around 5,000 companies use Hugging Face, <ref name="”6”"></ref> and it has over 1,200 contributors and 25,800 users. <ref name="”1”"></ref> | From its beginnings has a chatbot, it’s becoming the GitHub of ML. The platform offers 100,000 pre-trained [[models]] and 10,000 [[datasets]] for NLP, speech, computer vision, [[time-series]], biology, [[reinforcement learning]], chemistry, and others. <ref name="”7”">Krishna, S (2022). Hugging Face takes step toward democratizing AI and ML. VentureBeat. https://venturebeat.com/ai/hugging-face-steps-toward-democratizing-ai-and-ml-with-latest-offering%EF%BF%BC/</ref> Around 5,000 companies use Hugging Face, <ref name="”6”"></ref> and it has over 1,200 contributors and 25,800 users. <ref name="”1”"></ref> | ||
==Models, datasets, and spaces== | ==Models, datasets, and spaces== | ||