If you want to run inference using the LLama3 model, you’ll need to generate a Hugging Face token that has access to these models. Visit Hugging Face Hugging Face for more information. After you have the token, perform one of the following steps. Log in to Hugging Face: huggingface-cli...
Accelerating the development of large multimodal models (LMMs) with lmms-eval - huggingface/lmms-eval
github:GitHub - Yuliang-Liu/Monkey: 【CVPR 2024 Highlight】Monkey (LMM): Image Resolution and Text Label Are Important Things for Large Multi-modal Models huggingface: huggingface.co/echo840/ 本文基于的上一篇研究是:2024.2.22,Monkey: Image Resolution and Text Label Are Important Things for Large...
huggingface_estimator=HuggingFace(entry_point="finetune-lora-piechart-QA.sh",source_dir="./LLaVA",instance_type=instance_type,instance_count=instance_count,py_version=PYTHON_VERSION,image_uri=CONTAINER_URI,role=ROLE,metric_definitions=metric_definitions,environment=environment,use_spot_instances...
目前LLAVA 1.5可以在huggingface上在线试用,各位感兴趣的大佬可以去体验下~不过因为不管是训练语料、图片编码器还是vicuna,基本都是英文,所以中文可能效果不太理想。 1.5 ChartLlama 不论是LLAVA还是LLAVA 1.5,训练语料中的图片基本都是通用图片,比如猫猫狗狗啦,衣食住行啦等等,所以对于一类特殊的图片——图表类图片其...
alternative to text. The most common use cases for audio are still speech recognition (speech-to-text) and speech synthesis (text-to-speech). Non-speech audio use cases, e.g. music generation, are still pretty niche. See the fake Drake & Weeknd song andMusicGen model on HuggingFace. ...
Models Open-source Fuyu is an 8 billion parameter multimodal text and image decoder-only transformer. We used the Huggingface implementation with standard settings and without further fine-tuning (available at https://huggingface.co/adept/fuyu-8b). The maximum number of generated tokens was set to...
git lfs install git clone https://huggingface.co/GAIR/Anole-7b-v0.1 or huggingface-cli download --resume-download GAIR/Anole-7b-v0.1 --local-dir Anole-7b-v0.1 --local-dir-use-symlinks False Installtransformersfrom thechameleonbranch (already included in this repo),chameleon library, and other...
Magma is available onAzure AI Foundry Labs(opens in new tab)as well as onHuggingFace(opens in new tab)with an MIT license. Please refer to theMagma project page(opens in new tab)for more technical details. We invite you to test and explore these cutting-edg...
HuggingGPT[18]使用 ChatGPT 作为任务规划器,根据模型的描述来选择 HuggingFace 平台上可用的模型,并根据模型的执行结果总结生成最后的响应。 HuggingGPT原理 该系统由下面四个阶段组成: (1)任务规划:LLM 作为大脑,将用户请求解析为多个任务。每个任务都关联有四个属性:任务类型、ID、依赖关系和参数。他们使用few-shot...