Docs: replace http links with https 1年前 tests Mergehttps://github.com/fergofrog/python-future 1年前 .gitignore Mergehttps://github.com/fergofrog/python-future 1年前 .pre-commit-hooks.yaml Add simple documentation 5年前 2.6.Dockerfile ...
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and support state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ r
canvas height: 1200 pixel grid style: line/dot snap size: 10 pixel unit: pixel(Always pixel) ALT snap size:5 (Snap Size when pressing theALTKey) origin x position origin y position Canvas setting image Shapes The shape is an array. EasyEDA store various shape in this field, they ar...
Using the Python bindings is also straightforward, for example: importeasy3deasy3d.initialize()viewer=easy3d.Viewer("Test")viewer.add_model(easy3d.resource_directory()+"/data/bunny.ply")# <-- Use your actual file pathviewer.run() The documentation is an ongoing effort with more and more de...
InstantDL is an easy-to-use python package that can be executed by setting only two variables: the task and the data directory. For advanced users, twelve parameters can be set to adapt InstantDL to the specific task (see Methods). Moreover, different examples are provided in the ...
Using sample Python code as shown below, the JSONL file can be read into a Jupyter notebook and used for modeling. The individual record of data can be reviewed as shown below: Here is a sample Jupyter notebook to build a Named-Entity Recognition model (NER model). ...
Using sample Python code as shown below, the JSONL file can be read into a Jupyter notebook and used for modeling. The individual record of data can be reviewed as shown below: Here is a sample Jupyter notebook to build a Named-Entity Recognition model (NER model). ...
Chapter 87 – Interact with Google Big Query ML Pre-trained Model Dataset Using Python May 12, 2024 data Python 88 – Guide to Tokenize AI Prompt to Save Cost & Generate Better Result May 12, 2024 Data Science Automation data Data Science ...
You should install 🤗 Accelerate in avirtual environment. If you're unfamiliar with Python virtual environments, check out theuser guide. First, create a virtual environment with the version of Python you're going to use and activate it. ...
Python API experience >>>frompaddlespeech.cli.st.inferimportSTExecutor>>>st=STExecutor()>>>result=st(audio_file="en.wav") ['我 在 这栋 建筑 的 古老 门上 敲门 。'] Quick Start Server Developers can have a try of our speech server withPaddleSpeech Server Command Line. ...