Huggingface Hub Pypi. This is particularly useful when you use the non-streaming inv
This is particularly useful when you use the non-streaming invoke method but still want to stream the entire application, including intermediate results from the chat model. 安装可选依赖项 huggingface_hub 的某些依赖项是 可选 的，因为它们不是运行 huggingface_hub 的核心功能所必需的. js. 用清华源安装指定版本的transformers（4. dev: 라이브러리에 기여하고 싶다면 필요합니다. 6 days ago · transformers（Hugging Face Transformers）作为NLP领域的核心库，官方PyPI包名与导入名一致，但依赖链复杂（需torch、tokenizers、huggingface-hub等）、Python版本兼容要求严格、环境不匹配是高频诱因。 Here is the list of optional dependencies in huggingface_hub: cli: provide a more convenient CLI interface for huggingface_hub. gz Notes Previous Next The official Python client for the Hugging Face Hub. If you are unfamiliar with Python virtual environments, take a look at this guide. githubusercontent. 验证安装结果 try: import transformers print (f Apr 23, 2025 · Open source library for running inference workload with Hugging Face Deep Learning Containers on Amazon SageMaker.