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iis网站目录权限设置,sem是什么,免费的排版软件,p2p网站建设公司安装Towhee pip3 install towhee如果你想在 towhee 中安装模型 pip3 install towhee.models打开python终端 python3引入towhee 数据转换是 Towhee 的核心；管道只是在有向无环图中连接在一起的一系列转换。所有预构建的 Towhee 管道都有代表当前任务的名称。 fr…

安装Towhee

pip3 install towhee

如果你想在 towhee 中安装模型

pip3 install towhee.models

打开python终端

python3

引入towhee

数据转换是 Towhee 的核心；管道只是在有向无环图中连接在一起的一系列转换。所有预构建的 Towhee 管道都有代表当前任务的名称。

from towhee import AutoPipes

声明一个 sentence_embedding 的管道

p = AutoPipes.pipeline('sentence_embedding')

运行管道，获取向量值

output = p('Hello World.').get()

打印向量值

print(output)

完整例子

sunyuhua@sunyuhua-HKF-WXX:~$ python3
Python 3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from towhee import AutoPipes
>>> p= AutoPipes.pipeline('sentence_embedding')
Downloading https://towhee.io/sentence-embedding/transformers/resolve/bran
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Installing collected packages: sentencepiece, mpmath, sympy, safetensors, regex, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, networkx, fsspec, filelock, triton, nvidia-cusparse-cu12, nvidia-cudnn-cu12, huggingface-hub, tokenizers, nvidia-cusolver-cu12, transformers, torch
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Collecting scikit-learnDownloading scikit_learn-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (10.8 MB)━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.8/10.8 MB 5.3 MB/s eta 0:00:00
Collecting scipyDownloading scipy-1.11.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (36.4 MB)━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 36.4/36.4 MB 5.4 MB/s eta 0:00:00
Requirement already satisfied: sentencepiece in ./.local/lib/python3.10/site-packages (from sentence_transformers->-r /home/sunyuhua/.towhee/operators/sentence-embedding/sbert/versions/main/requirements.txt (line 1)) (0.1.99)
Collecting torchvisionDownloading torchvision-0.16.1-cp310-cp310-manylinux1_x86_64.whl (6.8 MB)━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.8/6.8 MB 10.3 MB/s eta 0:00:00
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Requirement already satisfied: nvidia-nvjitlink-cu12 in ./.local/lib/python3.10/site-packages (from nvidia-cusolver-cu12==11.4.5.107->torch->-r /home/sunyuhua/.towhee/operators/sentence-embedding/sbert/versions/main/requirements.txt (line 2)) (12.3.101)
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Collecting joblibDownloading joblib-1.3.2-py3-none-any.whl (302 kB)━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 302.2/302.2 KB 3.8 MB/s eta 0:00:00
Requirement already satisfied: click in /usr/lib/python3/dist-packages (from nltk->sentence_transformers->-r /home/sunyuhua/.towhee/operators/sentence-embedding/sbert/versions/main/requirements.txt (line 1)) (8.0.3)
Collecting threadpoolctl>=2.0.0Downloading threadpoolctl-3.2.0-py3-none-any.whl (15 kB)
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Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/lib/python3/dist-packages (from torchvision->sentence_transformers->-r /home/sunyuhua/.towhee/operators/sentence-embedding/sbert/versions/main/requirements.txt (line 1)) (9.0.1)
Building wheels for collected packages: sentence_transformersBuilding wheel for sentence_transformers (setup.py) ... doneCreated wheel for sentence_transformers: filename=sentence_transformers-2.2.2-py3-none-any.whl size=125940 sha256=ca4925acf55f71b2f1604eadef86cf5a46abc1216d0fca835055a1aed0cd607bStored in directory: /home/sunyuhua/.cache/pip/wheels/62/f2/10/1e606fd5f02395388f74e7462910fe851042f97238cbbd902f
Successfully built sentence_transformers
Installing collected packages: threadpoolctl, scipy, joblib, scikit-learn, nltk, torchvision, sentence_transformers
Successfully installed joblib-1.3.2 nltk-3.8.1 scikit-learn-1.3.2 scipy-1.11.4 sentence_transformers-2.2.2 threadpoolctl-3.2.0 torchvision-0.16.1
Defaulting to user installation because normal site-packages is not writeable
Requirement already satisfied: torch in ./.local/lib/python3.10/site-packages (2.1.1)
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config.json: 100%|███████████████████████| 612/612 [00:00<00:00, 4.73MB/s]
pytorch_model.bin: 100%|█████████████| 90.9M/90.9M [00:14<00:00, 6.30MB/s]
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special_tokens_map.json: 100%|████████████| 112/112 [00:00<00:00, 940kB/s]
Downloading https://towhee.io/towhee/np-normalize/resolve/branch/main/np_n
Downloading https://towhee.io/towhee/np-normalize/resolve/branch/main/.git
Downloading https://towhee.io/towhee/np-normalize/resolve/branch/main/__in
Downloading https://towhee.io/towhee/np-normalize/resolve/branch/main/READ
>>> output=p('Helloe world').get()
>>> print(output)
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