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Hugging Face, Inc. is an American company incorporated under the Delaware General Corporation Law [1] ... text classification, named entity recognition, question ...
Text Classification, sentiment analysis 2015 (2018) ... This is the one associated with the dataset card in Hugging Face. 2021 [344] Wei et al. Cybersecurity.
Images, text Face recognition, classification 2004 [113] [114] National Institute of Standards and Technology: Gavabdb Up to 61 samples for each subject. Expressions neutral face, smile, frontal accentuated laugh, frontal random gesture. 3D images. None. 549 Images, text Face recognition, classification 2008 [115] [116] King Juan Carlos ...
IBM Granite is a series of decoder-only AI foundation models created by IBM. [3] It was announced on September 7, 2023, [4] [5] and an initial paper was published 4 days later. [6]
In the same month, February 2023, MindsDB announced its integration with Hugging Face and OpenAI that would allow natural language processing and generative AI models into their database via API accessible with SQL requests. This integration enabled advanced text classification, sentiment analysis, emotion detection, translation, and more. [10 ...
BigScience Large Open-science Open-access Multilingual Language Model (BLOOM) [1] [2] is a 176-billion-parameter transformer-based autoregressive large language model (LLM). The model, as well as the code base and the data used to train it, are distributed under free licences. [3]
Open-source machine translation models have paved the way for multilingual support in applications across industries. Hugging Face's MarianMT is a prominent example, providing support for a wide range of language pairs, becoming a valuable tool for translation and global communication. [63]
T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [ 1 ] [ 2 ] Like the original Transformer model, [ 3 ] T5 models are encoder-decoder Transformers , where the encoder processes the input text, and the decoder generates the output text.