In complex environments, beet harvesters vibrate strongly under the influence of multiple sources of excitation. The modal constraints of the harvester's frame were obtained using modal simulation, ...
If you just want to use MIR as the pre-training indicator of your own model, no additional environment is required. python mir.py --model_path PATH/TO/MODEL --base_llm PATH/TO/LLM --text_data_path ...
This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.
Investigación Zapatero y su pagador viajaban juntos a Venezuela en aviones del régimen de Maduro Política El PP cita a Zapatero en la 'comisión Koldo' del Senado el lunes 2 de marzo en plena campaña ...
Abstract: Despite its significant progress, cross-modal retrieval still suffers from one-to-many matching cases, where the multiplicity of semantic instances in another modality could be acquired by a ...
Abstract: Multi-modal prompt learning is a high-performance and cost-effective learning paradigm, which learns text as well as image prompts to tune pre-trained vision-language (V-L) models like CLIP ...
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