Searched full:multimodal (Results 1 – 25 of 26) sorted by relevance
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4 - Demonstrate how to export LLavA multimodal model to generate ExecuTorch .PTE file.24 multimodal model that combines a vision encoder and Vicuna (a LLama2 based text26 impressive chat capabilities mimicking spirits of the cutting edge multimodal
9 // Given a image tensor, prefill the KV cache of a multimodal LLM.29 * @param image The image input to the multimodal LLM.
9 // A simple multimodal LLM runner that includes preprocessing and post47 "Creating Multimodal LLM runner: model_path=%s, tokenizer_path=%s", in temperature_()
17 Multimodal, enumerator
77 case Version::Multimodal: in _get_special_tokens()
20 to be multimodal. It can generalize and seamlessly understand, operate
33 // API for using Large Models that generate multimodal content and have
15 to be multimodal. It can generalize and seamlessly understand, operate
32 // API for using Large Models that generate multimodal content and have
166 // Generate content with multimodal inputs.180 // Generate content with multimodal inputs with streaming support.
28 tokenizer_ = get_tiktoken_for_llama(Version::Multimodal); in SetUp()
9 // A simple multimodal LLM runner that includes preprocessing and post
165 // Generate content with multimodal inputs.179 // Generate content with multimodal inputs with streaming support.
40 Just the text decoder portions of the Llama3.2 multimodal model.
28 <https://pytorch.org/blog/scaling-multimodal-foundation-models-in-torchmultimodal-with-pytorch-dist…
410 Now handles multimodal datasets by returning the first mode encountered.
1884 when given multimodal data. Instead, it returns the first mode
8296 …dels. Gemini is our most capable model, built from the ground up to be multimodal. It can generali…8428 …dels. Gemini is our most capable model, built from the ground up to be multimodal. It can generali…
132859 multimodal %7157
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