defis_multimodal_model(self)->bool:returnself.multimodal_configisnotNone 同时会使用到huggingface的相关配置。 对应的是: ModelConfig.hf_config 具体到Llava模型,对应的是:Huggingface的LlavaConfig结构。 https://huggingface.co/docs/transformers/main/en/model_doc/llava#transformers.LlavaConfig 这个依赖于tra...
NExT-GPT: Any-to-Any Multimodal LLM 0 论文信息 项目地址: NExT-GPTnext-gpt.github.io 1 Motivation 之前的大多数多模态模型支持多种模态的输入,但是不能生成多模态内容; 可以支持多模态输入输出的其它工作过于依赖大语言模型的能力,并且很多都没有学习模块,比如HuggingGPT通过LLMs调用Huggingface里面的各种专...
This is the first work to correct hallucination in multimodal large language models. ✨ 🔥🔥🔥Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM Project Page|Paper|GitHub A speech-to-speech dialogue model with both low-latency and high intelligence while ...
Incorporating additional modalities to LLMs (Large Language Models) creates LMMs (Large Multimodal Models). Not all multimodal systems are LMMs. For example, text-to-image models like Midjourney, Stable Diffusion, and Dall-E are multimodal but don’t have a language model component. Multimodal ca...
Accelerating the development of large multimodal models (LMMs) with lmms-eval - huggingface/lmms-eval
[8] Cerspense. Zeroscope: Diffusion-based text-to-video synthesis. 2023. URL https://huggingface. co/cerspense. [9] Duygu Ceylan, Chun-Hao Paul Huang, and Niloy J. Mitra. Pix2video: Video editing using image diffusion. CoRR, abs/2303.12688, 2023. ...
Acquire the image data fromHugging Faceand extract to: /path/to/neva/datasets/LLaVA-Pretrain-LCS-558K/images Forfine-tuning, deploy theLLaVA-Instruct-150Kdataset. This is also available onLLaVA’s GitHub. You can download the prompts fromHuggingFace: ...
Fig. 2: Structure of the presented Med-MLLM framework. It consists of three main components:aImage-only pre-training which incorporates the patient-level contrastive learning (PCL);bText-only pre-training which incorporates three training objectives: the masked language modelling (MLM), the sentenc...
huggingface transformers库中一种极简方式使用大模型推理的抽象,将所有大模型分为语音(Audio)、计算机视觉(Computer vision)、自然语言处理(NLP)、多模态(Multimodal..."default": {"model": {"pt": ("facebook/wav2vec2-base-960h", "55bb623")}}, "type": "multimodal..."model": {"pt": ("impira...
To facilitate the evaluation of the model's capability, we collect a dataset featured by consisting of multi-modal input tools from HuggingFace. Another important feature of our dataset is that our dataset also contains multiple potential choices for the same instruction due to the existence of ...