├── .gitignore ├── LICENSE ├── README.md ├── build_and_upload.sh ├── pyproject.toml ├── src └── light_hf_proxy │ └── __init__.py └── tests └── test.py /.gitignore: -------------------------------------------------------------------------------- 1 | cache 2 | *.swp 3 | 4 | # Byte-compiled / optimized / DLL files 5 | __pycache__/ 6 | *.py[cod] 7 | *$py.class 8 | 9 | # C extensions 10 | *.so 11 | 12 | # Distribution / packaging 13 | .Python 14 | build/ 15 | develop-eggs/ 16 | dist/ 17 | downloads/ 18 | eggs/ 19 | .eggs/ 20 | lib/ 21 | lib64/ 22 | parts/ 23 | sdist/ 24 | var/ 25 | wheels/ 26 | share/python-wheels/ 27 | *.egg-info/ 28 | .installed.cfg 29 | *.egg 30 | MANIFEST 31 | 32 | # PyInstaller 33 | # Usually these files are written by a python script from a template 34 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 35 | *.manifest 36 | *.spec 37 | 38 | # Installer logs 39 | pip-log.txt 40 | pip-delete-this-directory.txt 41 | 42 | # Unit test / coverage reports 43 | htmlcov/ 44 | .tox/ 45 | .nox/ 46 | .coverage 47 | .coverage.* 48 | .cache 49 | nosetests.xml 50 | coverage.xml 51 | *.cover 52 | *.py,cover 53 | .hypothesis/ 54 | .pytest_cache/ 55 | cover/ 56 | 57 | # Translations 58 | *.mo 59 | *.pot 60 | 61 | # Django stuff: 62 | *.log 63 | local_settings.py 64 | db.sqlite3 65 | db.sqlite3-journal 66 | 67 | # Flask stuff: 68 | instance/ 69 | .webassets-cache 70 | 71 | # Scrapy stuff: 72 | .scrapy 73 | 74 | # Sphinx documentation 75 | docs/_build/ 76 | 77 | # PyBuilder 78 | .pybuilder/ 79 | target/ 80 | 81 | # Jupyter Notebook 82 | .ipynb_checkpoints 83 | 84 | # IPython 85 | profile_default/ 86 | ipython_config.py 87 | 88 | # pyenv 89 | # For a library or package, you might want to ignore these files since the code is 90 | # intended to run in multiple environments; otherwise, check them in: 91 | # .python-version 92 | 93 | # pipenv 94 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 95 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 96 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 97 | # install all needed dependencies. 98 | #Pipfile.lock 99 | 100 | # poetry 101 | # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. 102 | # This is especially recommended for binary packages to ensure reproducibility, and is more 103 | # commonly ignored for libraries. 104 | # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control 105 | #poetry.lock 106 | 107 | # pdm 108 | # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. 109 | #pdm.lock 110 | # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it 111 | # in version control. 112 | # https://pdm.fming.dev/#use-with-ide 113 | .pdm.toml 114 | 115 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm 116 | __pypackages__/ 117 | 118 | # Celery stuff 119 | celerybeat-schedule 120 | celerybeat.pid 121 | 122 | # SageMath parsed files 123 | *.sage.py 124 | 125 | # Environments 126 | .env 127 | .venv 128 | env/ 129 | venv/ 130 | ENV/ 131 | env.bak/ 132 | venv.bak/ 133 | 134 | # Spyder project settings 135 | .spyderproject 136 | .spyproject 137 | 138 | # Rope project settings 139 | .ropeproject 140 | 141 | # mkdocs documentation 142 | /site 143 | 144 | # mypy 145 | .mypy_cache/ 146 | .dmypy.json 147 | dmypy.json 148 | 149 | # Pyre type checker 150 | .pyre/ 151 | 152 | # pytype static type analyzer 153 | .pytype/ 154 | 155 | # Cython debug symbols 156 | cython_debug/ 157 | 158 | # PyCharm 159 | # JetBrains specific template is maintained in a separate JetBrains.gitignore that can 160 | # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore 161 | # and can be added to the global gitignore or merged into this file. 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We also recommend that a 185 | file or class name and description of purpose be included on the 186 | same "printed page" as the copyright notice for easier 187 | identification within third-party archives. 188 | 189 | Copyright [yyyy] [name of copyright owner] 190 | 191 | Licensed under the Apache License, Version 2.0 (the "License"); 192 | you may not use this file except in compliance with the License. 193 | You may obtain a copy of the License at 194 | 195 | http://www.apache.org/licenses/LICENSE-2.0 196 | 197 | Unless required by applicable law or agreed to in writing, software 198 | distributed under the License is distributed on an "AS IS" BASIS, 199 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 200 | See the License for the specific language governing permissions and 201 | limitations under the License. 202 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # light-hf-proxy 2 | A light proxy solution for HuggingFace hub. It is supposed to work with diffusers, transformers and datasets from HuggingFace. 3 | 4 | # Install / 安装 5 | 6 | ```bash 7 | pip install light-hf-proxy --index-url https://pypi.org/simple/ 8 | ``` 9 | 10 | # Usage / 使用 11 | 12 | ```python 13 | # Just import light_hf_proxy before any huggingface libraries: transformers, diffusers, etc. 14 | import light_hf_proxy 15 | 16 | # Do whatever you normally do. 17 | from transformers import AutoTokenizer, AutoModelForCausalLM, TextStreamer 18 | 19 | model_path = "LinkSoul/Chinese-Llama-2-7b" 20 | cache_dir = "cache" 21 | 22 | tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False, cache_dir=cache_dir) 23 | model = AutoModelForCausalLM.from_pretrained(model_path, cache_dir=cache_dir).half().cuda() 24 | streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True) 25 | 26 | instruction = """[INST] <>\nYou are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. 27 | 28 | If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.\n<>\n\n{} [/INST]""" 29 | 30 | prompt = instruction.format("用中文回答,When is the best time to visit Beijing, and do you have any suggestions for me?") 31 | generate_ids = model.generate(tokenizer(prompt, return_tensors='pt').input_ids.cuda(), max_new_tokens=4096, streamer=streamer) 32 | ``` 33 | 34 | Just import light_hf_proxy and no more steps needed. 35 | 36 | We only provide relay service for the following repos so as to support our own research: 37 | - [LinkSoul.AI](https://huggingface.co/LinkSoul) 38 | - [BAAI](https://huggingface.co/BAAI) 39 | - [OpenAI](https://huggingface.co/openai) 40 | 41 | Any other repos will fallback to [https://hf-mirror.com/](https://hf-mirror.com/), which is a mirror server maintained by [padeoe](https://gist.github.com/padeoe). 42 | 43 | ## Use private relay server or mirror 44 | 45 | You can setup your own relay server or mirror to speedup model downloading. Though, we are not going to provide any tutorial or information about how to setup relay server or mirror. 46 | 47 | To use private relay server, you can use this library as following: 48 | ```bash 49 | RELAY_SERVER=https://your.relay.server python script.py 50 | ``` 51 | 52 | To use private mirror, you can use this library as following: 53 | ```bash 54 | HF_MIRROR_URL=https://your.mirror.server python script.py 55 | ``` 56 | 57 | 58 | # 项目声明 59 | 60 | 本项目是一个开源项目,仅供学术研究使用。请注意以下声明: 61 | 62 | 本项目的目的是为了促进学术研究和技术探索。项目内容仅供研究人员和开发者参考和学习之用。 63 | 64 | 本项目不应用于商业场景或其他非学术研究的用途。禁止将本项目用于商业目的,包括但不限于商业产品、服务或任何形式的盈利活动。 65 | 66 | 本项目的代码和资源仅供个人学习和研究使用。未经许可,不得将本项目的代码、数据或任何相关内容用于其他项目或产品。 67 | 68 | 本项目的创建者和贡献者不对不正确使用本项目导致的后果负责。使用者应当承担使用本项目所产生的一切风险和责任。 69 | 70 | 请遵守适用的法律法规和伦理准则,确保在使用本项目时不会侵犯他人的权益,包括但不限于知识产权和隐私权。 71 | 72 | 如果您有任何关于本项目的疑问、建议或发现了任何违反上述声明的行为,请及时与我们联系。 73 | 74 | 过使用本项目,您表示您已阅读、理解并同意遵守上述声明。 75 | 76 | # Project Statement 77 | 78 | This project is an open-source project intended for academic research purposes only. Please note the following statement: 79 | 80 | The purpose of this project is to facilitate academic research and technical exploration. The project content is intended for reference and learning purposes for researchers and developers. 81 | 82 | This project should not be used for commercial purposes or any other non-academic research purposes. It is strictly prohibited to use this project for commercial purposes, including but not limited to commercial products, services, or any form of profit-making activities. 83 | 84 | The code and resources of this project are intended for personal learning and research use. Without permission, the code, data, or any related content of this project should not be used for other projects or products. 85 | 86 | The creators and contributors of this project are not responsible for any consequences resulting from the incorrect use of this project. Users should assume all risks and liabilities associated with the use of this project. 87 | 88 | Please comply with applicable laws, regulations, and ethical guidelines to ensure that the use of this project does not infringe upon the rights of others, including but not limited to intellectual property rights and privacy rights. 89 | 90 | If you have any questions, suggestions, or if you notice any behavior that violates the above statement regarding this project, please contact us promptly. 91 | 92 | By using this project, you acknowledge that you have read, understood, and agreed to comply with the above statement. 93 | -------------------------------------------------------------------------------- /build_and_upload.sh: -------------------------------------------------------------------------------- 1 | #!/bin/sh 2 | 3 | python -m build && twine upload dist/* 4 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [project] 2 | name = "light-hf-proxy" 3 | version = "0.0.4" 4 | authors = [ 5 | { name="Yemin Shi", email="shiyemin2@gmail.com" }, 6 | ] 7 | description = "A light proxy solution for HuggingFace hub." 8 | readme = "README.md" 9 | requires-python = ">=3.7" 10 | license = {file = "LICENSE"} 11 | classifiers = [ 12 | "Programming Language :: Python :: 3", 13 | "License :: OSI Approved :: Apache Software License", 14 | "Operating System :: OS Independent", 15 | ] 16 | dependencies = [ 17 | "huggingface_hub" 18 | ] 19 | 20 | [project.urls] 21 | "Homepage" = "https://github.com/shiyemin/light-hf-proxy" 22 | "Bug Tracker" = "https://github.com/shiyemin/light-hf-proxy/issues" 23 | -------------------------------------------------------------------------------- /src/light_hf_proxy/__init__.py: -------------------------------------------------------------------------------- 1 | import os 2 | import requests 3 | import huggingface_hub.utils 4 | 5 | FORCE_USE_RELAY_SERVER = os.environ.get("FORCE_USE_RELAY_SERVER", False) 6 | 7 | # Relay servers and mirror urls 8 | RELAY_SERVER = os.environ.get("RELAY_SERVER", "https://relay.yimo.space") 9 | RELAY_SERVER_SUPPORT_PREFIX = os.environ.get("RELAY_SERVER_SUPPORT_PREFIX", "https://huggingface.co/LinkSoul,https://huggingface.co/datasets/LinkSoul,https://huggingface.co/BAAI,https://huggingface.co/datasets/BAAI,https://huggingface.co/openai,https://cdn-lfs.huggingface.co") 10 | 11 | HF_MIRROR_URL = os.environ.get("HF_MIRROR_URL", "https://hf-mirror.com") 12 | HF_LFS_MIRROR_URL = os.environ.get("HF_LFS_MIRROR_URL", "https://lfs5.hf-mirror.com") 13 | 14 | # Deinfe official urls 15 | HF_OFFICIAL_URL = os.environ.get("HF_OFFICIAL_URL", "https://huggingface.co") 16 | HF_LFS_OFFICIAL_URL = os.environ.get("HF_LFS_OFFICIAL_URL", "https://cdn-lfs.huggingface.co") 17 | 18 | 19 | # Preprocess 20 | RELAY_SERVER_SUPPORT_PREFIX = [p.lower() for p in RELAY_SERVER_SUPPORT_PREFIX.split(",")] 21 | 22 | class ProxySession(requests.Session): 23 | def request(self, method, url, *args, **kwargs): 24 | url = self.patch_url(url) 25 | 26 | ret = super().request(method, url, *args, **kwargs) 27 | return ret 28 | 29 | def patch_url(self, url): 30 | # Only patch hf and lfs urls 31 | if (not url.startswith(HF_OFFICIAL_URL)) and \ 32 | (not url.startswith(HF_LFS_OFFICIAL_URL)): 33 | return url 34 | # Force use relay server 35 | if FORCE_USE_RELAY_SERVER: 36 | return os.path.join(RELAY_SERVER, url) 37 | # If url match relay server prefix, use relay server 38 | for p in RELAY_SERVER_SUPPORT_PREFIX: 39 | if url.lower().startswith(p): 40 | return os.path.join(RELAY_SERVER, url) 41 | # If url match official prefix, replace it 42 | if url.startswith(HF_OFFICIAL_URL): 43 | return url.replace(HF_OFFICIAL_URL, HF_MIRROR_URL) 44 | # It's a bad choice to replace lfs prefix. We put it here just in case. 45 | if url.startswith(HF_LFS_OFFICIAL_URL): 46 | return url.replace(HF_LFS_OFFICIAL_URL, HF_LFS_MIRROR_URL) 47 | 48 | # You are not supposed to be here 49 | return url 50 | 51 | def _proxied_backend_factory() -> requests.Session: 52 | session = ProxySession() 53 | session.mount("http://", huggingface_hub.utils._http.UniqueRequestIdAdapter()) 54 | session.mount("https://", huggingface_hub.utils._http.UniqueRequestIdAdapter()) 55 | return session 56 | 57 | def proxied_request(method, url, **kwargs): 58 | with ProxySession() as session: 59 | return session.request(method=method, url=url, **kwargs) 60 | 61 | huggingface_hub.utils._http.configure_http_backend(_proxied_backend_factory) 62 | requests.request = proxied_request 63 | 64 | 65 | if __name__ == "__main__": 66 | from transformers import AutoTokenizer, AutoModelForCausalLM, TextStreamer 67 | 68 | model_path = "LinkSoul/Chinese-Llama-2-7b" 69 | cache_dir = "cache" 70 | 71 | tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False, cache_dir=cache_dir) 72 | model = AutoModelForCausalLM.from_pretrained(model_path, cache_dir=cache_dir).half().cuda() 73 | streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True) 74 | 75 | instruction = """[INST] <>\nYou are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. 76 | 77 | If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.\n<>\n\n{} [/INST]""" 78 | 79 | prompt = instruction.format("用中文回答,When is the best time to visit Beijing, and do you have any suggestions for me?") 80 | generate_ids = model.generate(tokenizer(prompt, return_tensors='pt').input_ids.cuda(), max_new_tokens=4096, streamer=streamer) 81 | -------------------------------------------------------------------------------- /tests/test.py: -------------------------------------------------------------------------------- 1 | import light_hf_proxy 2 | 3 | from transformers import AutoTokenizer, AutoModelForCausalLM, TextStreamer 4 | 5 | model_path = "LinkSoul/Chinese-Llama-2-7b" 6 | cache_dir = "cache" 7 | 8 | tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False, cache_dir=cache_dir) 9 | model = AutoModelForCausalLM.from_pretrained(model_path, cache_dir=cache_dir).half().cuda() 10 | streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True) 11 | 12 | instruction = """[INST] <>\nYou are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. 13 | 14 | If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.\n<>\n\n{} [/INST]""" 15 | 16 | prompt = instruction.format("用中文回答,When is the best time to visit Beijing, and do you have any suggestions for me?") 17 | generate_ids = model.generate(tokenizer(prompt, return_tensors='pt').input_ids.cuda(), max_new_tokens=4096, streamer=streamer) 18 | --------------------------------------------------------------------------------