使用Hugging Face 官方提供的 huggingface-cli 命令行工具。安装依赖: pip install -U huggingface_hub 然后新建 python 文件,填入以下代码,运行即可。 import os # 下载模型 os.system('huggingface-cli download --resume-download internlm/internlm-chat-7b --local-dir your_path') resume-download:断点续下 ...
2. [CLI安装] 官方CLI下载 pip install -U huggingface_hub huggingface-cli download bigscience/bloom-560m --local-dir bloom-560m huggingface-cli download --repo-type dataset lavita/medical-qa-shared-task-v1-toy 3. [snapshot] 支持筛选下载 https://huggingface.co/docs/hub/how-to-downstream fro...
IMAGE_MODEL_DIR = "/model" MODEL_BASE_FILE = "Wizard-Vicuna-13B-Uncensored-GPTQ-4bit-128g.compat.no-act-order" def download_model(): from huggingface_hub import snapshot_download MODEL_NAME = "TheBloke/Wizard-Vicuna-13B-Uncensored-GPTQ" snapshot_download(MODEL_NAME, local_dir=IMAGE_MODEL...
@@ -65,6 +65,10 @@ huggingface-cli download meta-llama/Meta-Llama-3.1-8B-Instruct --include "origin ) ``` ## Installations You can install this repository as a [package](https://pypi.org/project/llama-models/) by just doing `pip install llama-models` ## Responsible Use Llama models...
我在使用旧版本的docker时也遇到了类似的问题。根据this post,更新docker应该可以解决这个问题。我可以...
1.876 Downloading huggingface_hub-0.18.0-py3-none-any.whl (301 kB) 1.886 ERROR: Exception: 1.886 Traceback (most recent call last): 1.886 File "/usr/local/lib/python3.9/site-packages/pip/_internal/cli/base_command.py", line 160, in exc_logging_wrapper ...
要安装"SpaCy"库而不出现错误,可以按照以下步骤进行操作: 1. 确保已经安装了Python解释器:SpaCy是一个基于Python的自然语言处理库,因此需要先安装Python。可以从Pytho...
(2021.1) Collecting huggingface-hub<1.0,>=0.15.1 (from transformers->TTS) Downloading huggingface_hub-0.17.3-py3-none-any.whl (295 kB) --- 295.0/295.0 kB 1.1 MB/s eta 0:00:00 Requirement already satisfied: requests in C:\python38\lib\site-packages (from transformers->TTS) (2.31.0) ...
WHISPER_MODEL_URL="https://huggingface.co/ggerganov/whisper.cpp/resolve/main/" WHISPER_PATH="$SCRIPT_DIR/01OS/server/stt/local_service" if [[ ! -f "${WHISPER_PATH}/${WHISPER_MODEL_NAME}" ]]; then mkdir -p "${WHISPER_PATH}" curl -L "${WHISPER_MODEL_URL}${WHISPER_MODEL_NAME}...
curl -o ggml-large-v3-q5_0.bin -L 'https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-large-v3-q5_0.bin?download=true' Convert from MP3 to 16kHz WAV, if necessary: ffmpeg -i input.mp3 -ar 16000 input.wav And transcribe audio, as follows: whisper-cpp -m ggml-large...