Contents

modelscope 1.16.1

0

ModelScope: bring the notion of Model-as-a-Service to life.

ModelScope: bring the notion of Model-as-a-Service to life.

Stars: 6547, Watchers: 6547, Forks: 679, Open Issues: 30

The modelscope/modelscope repo was created 1 years ago and the last code push was 5 hours ago.
The project is extremely popular with a mindblowing 6547 github stars!

How to Install modelscope

You can install modelscope using pip

pip install modelscope

or add it to a project with poetry

poetry add modelscope

Package Details

Author
ModelScope team
License
Apache License 2.0
Homepage
https://github.com/modelscope/modelscope
PyPi:
https://pypi.org/project/modelscope/
GitHub Repo:
https://github.com/modelscope/modelscope

Classifiers

No  modelscope  pypi packages just yet.

Errors

A list of common modelscope errors.

Code Examples

Here are some modelscope code examples and snippets.

GitHub Issues

The modelscope package has 30 open issues on GitHub

  • 请问有计划何时支持Python3.11版本吗?
  • 示例文档压缩包中所有图片显示不全
  • Asr 推理问题
  • se model loading error!!!
  • No module named 'fa'
  • 无法利用gpu进行推理
  • load model got an unexpected keyword argument 'device'
  • 自动标注的疑问
  • logger only print error \ critical issue
  • 创空间依托的资源是什么
  • is data load can set MODELSCOPE_CACHE in bashrc as the model load not load from /root/.cache as default?
  • run_auto_label with error
  • BaSSL视频场景分割大视频时显存溢出
  • https://www.modelscope.cn/models/damo/cv_dla34_table-structure-recognition_cycle-centernet/summary 这个表格模型,有谁有onnx版本吗?安装了个ubutn虚拟机,环境都安装失败了
  • fatal: Out of memory, realloc failed

See more issues on GitHub

Related Packages & Articles

datasets 2.20.0

HuggingFace community-driven open-source library of datasets

nlp 0.4.0

HuggingFace/NLP is an open library of NLP datasets.

deeplake 3.9.14

Deep Lake is a Database for AI powered by a unique storage format optimized for deep-learning and Large Language Model (LLM) based applications. It simplifies the deployment of enterprise-grade LLM-based products by offering storage for all data types (embeddings, audio, text, videos, images, pdfs, annotations, etc.), querying and vector search, data streaming while training models at scale, data versioning and lineage for all workloads, and integrations with popular tools such as LangChain, LlamaIndex, Weights & Biases, and many more.

ktrain 0.41.4

ktrain is a wrapper for TensorFlow Keras that makes deep learning and AI more accessible and easier to apply

thinc 9.0.0

A refreshing functional take on deep learning, compatible with your favorite libraries

spacy 3.7.5

Industrial-strength Natural Language Processing (NLP) in Python