Although it is mentioned that there is a bug regarding installation for Mac/Windows,
For Mac/Windows users, there is a known bug, please use the following workaround: (...)
it seems that this is the case also for Linux. It is not possible to install the pip package in Linux without an issue. Here is a demonstration of one of the problematic attempts:
Although it is mentioned that there is a bug regarding installation for Mac/Windows,
it seems that this is the case also for Linux. It is not possible to install the pip package in Linux without an issue. Here is a demonstration of one of the problematic attempts:
Click to expand
``` docker run -it --name whisper_at_3 python:3.10 bash root@d9b37cde4d52:/# root@d9b37cde4d52:/# pip install whisper-at Collecting whisper-at Downloading whisper_at-0.5-py3-none-any.whl (1.2 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 4.7 MB/s eta 0:00:00 Collecting numba Downloading numba-0.60.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.7 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.7/3.7 MB 7.4 MB/s eta 0:00:00 Collecting numpy Downloading numpy-2.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (16.3 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 16.3/16.3 MB 11.5 MB/s eta 0:00:00 Collecting tiktoken==0.3.3 Downloading tiktoken-0.3.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 12.7 MB/s eta 0:00:00 Collecting triton==2.0.0 Downloading triton-2.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (63.3 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.3/63.3 MB 8.7 MB/s eta 0:00:00 Collecting more-itertools Downloading more_itertools-10.5.0-py3-none-any.whl (60 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 61.0/61.0 kB 4.7 MB/s eta 0:00:00 Collecting tqdm Downloading tqdm-4.66.5-py3-none-any.whl (78 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.4/78.4 kB 8.5 MB/s eta 0:00:00 Collecting torch Downloading torch-2.4.1-cp310-cp310-manylinux1_x86_64.whl (797.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 797.1/797.1 MB 1.2 MB/s eta 0:00:00 Collecting regex>=2022.1.18 Downloading regex-2024.9.11-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (782 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 782.7/782.7 kB 11.4 MB/s eta 0:00:00 Collecting requests>=2.26.0 Downloading requests-2.32.3-py3-none-any.whl (64 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 64.9/64.9 kB 6.4 MB/s eta 0:00:00 Collecting lit Downloading lit-18.1.8-py3-none-any.whl (96 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 96.4/96.4 kB 1.6 MB/s eta 0:00:00 Collecting filelock Downloading filelock-3.16.0-py3-none-any.whl (16 kB) Collecting cmake Downloading cmake-3.30.3-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (26.9 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 26.9/26.9 MB 10.7 MB/s eta 0:00:00 Collecting numpy Downloading numpy-2.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (19.5 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.5/19.5 MB 11.5 MB/s eta 0:00:00 Collecting llvmlite<0.44,>=0.43.0dev0 Downloading llvmlite-0.43.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.9 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 43.9/43.9 MB 10.2 MB/s eta 0:00:00 Collecting sympy Downloading sympy-1.13.2-py3-none-any.whl (6.2 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.2/6.2 MB 11.9 MB/s eta 0:00:00 Collecting nvidia-cuda-nvrtc-cu12==12.1.105 Downloading nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 11.5 MB/s eta 0:00:00 Collecting nvidia-cufft-cu12==11.0.2.54 Downloading nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 121.6/121.6 MB 5.2 MB/s eta 0:00:00 Collecting nvidia-nccl-cu12==2.20.5 Downloading nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl (176.2 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 176.2/176.2 MB 5.3 MB/s eta 0:00:00 Collecting nvidia-nvtx-cu12==12.1.105 Downloading nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 99.1/99.1 kB 3.2 MB/s eta 0:00:00 Collecting jinja2 Downloading jinja2-3.1.4-py3-none-any.whl (133 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 133.3/133.3 kB 7.5 MB/s eta 0:00:00 Collecting fsspec Downloading fsspec-2024.9.0-py3-none-any.whl (179 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 179.3/179.3 kB 9.1 MB/s eta 0:00:00 Collecting nvidia-cusolver-cu12==11.4.5.107 Downloading nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 124.2/124.2 MB 7.1 MB/s eta 0:00:00 Collecting typing-extensions>=4.8.0 Downloading typing_extensions-4.12.2-py3-none-any.whl (37 kB) Collecting nvidia-cudnn-cu12==9.1.0.70 Downloading nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl (664.8 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 664.8/664.8 MB 1.7 MB/s eta 0:00:00 Collecting nvidia-cuda-cupti-cu12==12.1.105 Downloading nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 14.1/14.1 MB 8.9 MB/s eta 0:00:00 Collecting torch Downloading torch-2.4.0-cp310-cp310-manylinux1_x86_64.whl (797.2 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 797.2/797.2 MB 1.4 MB/s eta 0:00:00 Downloading torch-2.3.1-cp310-cp310-manylinux1_x86_64.whl (779.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 779.1/779.1 MB 1.0 MB/s eta 0:00:00 Downloading torch-2.3.0-cp310-cp310-manylinux1_x86_64.whl (779.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 779.1/779.1 MB 3.0 MB/s eta 0:00:00 Downloading torch-2.2.2-cp310-cp310-manylinux1_x86_64.whl (755.5 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 755.5/755.5 MB 2.8 MB/s eta 0:00:00 Collecting nvidia-nccl-cu12==2.19.3 Downloading nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl (166.0 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 166.0/166.0 MB 8.6 MB/s eta 0:00:00 Collecting torch Downloading torch-2.2.1-cp310-cp310-manylinux1_x86_64.whl (755.5 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 755.5/755.5 MB 2.6 MB/s eta 0:00:00 Downloading torch-2.2.0-cp310-cp310-manylinux1_x86_64.whl (755.5 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 755.5/755.5 MB 3.4 MB/s eta 0:00:00 Downloading torch-2.1.2-cp310-cp310-manylinux1_x86_64.whl (670.2 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 670.2/670.2 MB 4.2 MB/s eta 0:00:00 Downloading torch-2.1.1-cp310-cp310-manylinux1_x86_64.whl (670.2 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 670.2/670.2 MB 3.5 MB/s eta 0:00:00 Downloading torch-2.1.0-cp310-cp310-manylinux1_x86_64.whl (670.2 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 670.2/670.2 MB 3.7 MB/s eta 0:00:00 Downloading torch-2.0.1-cp310-cp310-manylinux1_x86_64.whl (619.9 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 619.9/619.9 MB 4.0 MB/s eta 0:00:00 Collecting nvidia-cudnn-cu11==8.5.0.96 Downloading nvidia_cudnn_cu11-8.5.0.96-2-py3-none-manylinux1_x86_64.whl (557.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 333.3/557.1 MB 12.4 MB/s eta 0:00:18 ..... ..... ```