One Step Sketch to Image translation with pix2pix-turbo and OpenVINO https://github.com/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/sketch-to-image-pix2pix-turbo/sketch-to-image-pix2pix-turbo.ipynb Animating Open-domain Images with DynamiCrafter and OpenVINO https://github.com/openvino...
https://github.com/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/nano-llava-multimodal-chatbot/nano-llava-multimodal-chatbot.ipynb Person Counting System using YOLOV8 and OpenVINO™ https://github.com/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/person-counting-webcam/person-countin...
toolkit = {'percentage_difference': percentage_difference,'get_monthly_active_users': get_monthly_active_users,'get_summary': get_summary} analyst_functions = [format_tool_to_openai_function(f)for f in toolkit.values()] ...
安装 RKLLM-Toolkit 在 RKLLM-Toolkit Conda 环境下使用 pip 工具直接安装所提供的工具链 whl 包，在安装过程 中，安装工具会自动下载 RKLLM-Toolkit 工具所需要的相关依赖包。pip3 install rkllm_toolkit-1.0.0-cp38-cp38-linux_x86_64.whl 若执行以下命令没有报错，则安装成功。pythonfrom rkllm.api import...
b. 方法的详细步骤: (1). ChatMOF系统由三个核心组件组成:代理(agent)、工具包(toolkit)和评估器(evaluator)。代理根据用户的查询制定计划并选择合适的工具包,工具包执行计划并生成输出,评估器将这些结果转化为最终的回应。 (2). ChatMOF利用大规模语言模型(LLMs)作为中央规划者、调节器和评估器,类似于人脑的功...
", output="MLflow is like your friendly neighborhood toolkit for managing ML projects. It'...
conda create -n profiling python=3.11.7 conda activate profiling pip install -r requirements.txt pip install -e ~/profiling-toolkit/src/benchmarking/lm-evaluation-harness pip install -e ~/profiling-toolkit/src/profiling/bias_bench 🧰 Usage 📊 Profiling LLMs To profile a given LLM the follow...
pip3 install rkllm_toolkit-1.0.0-cp38-cp38-linux_x86_64.whl 若执行以下命令没有报错,则安装成功。 python from rkllm.api import RKLLM 2.2 RKLLM Runtime 库的使用 在所公开的的 RKLLM 工具链文件中,包括包含 RKLLM Runtime 的全部文件:
pip3 install rkllm_toolkit-1.0.0-cp38-cp38-linux_x86_64.whl 若执行以下命令没有报错,则安装成功。 python from rkllm.api import RKLLM 2.2 RKLLM Runtime 库的使用 在所公开的的 RKLLM 工具链文件中,包括包含 RKLLM Runtime 的全部文件: ...
EmbedJs is an Open Source Framework for personalizing LLM responses. An ultimate toolkit for building powerful Retrieval-Augmented Generation (RAG) and Large Language Model (LLM) applications with ease in Node.js. It segments data into manageable chunks, generates relevant embeddings, and stores them...