{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "provenance": [], "machine_shape": "hm", "gpuType": "T4", "authorship_tag": "ABX9TyMCKZDg8skzTybbv6QIpreu", "include_colab_link": true }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" }, "accelerator": "GPU" }, "cells": [ { "cell_type": "markdown", "metadata": { "id": "view-in-github", "colab_type": "text" }, "source": [ "\"Open" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "l3Fg9Q8mUpY2", "outputId": "2dad8de2-b0d4-4d4f-d1d5-fbe8edd1fffb" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Cloning into 'seamless-test'...\n", "remote: Enumerating objects: 63, done.\u001b[K\n", "remote: Counting objects: 100% (33/33), done.\u001b[K\n", "remote: Compressing objects: 100% (31/31), done.\u001b[K\n", "remote: Total 63 (delta 15), reused 0 (delta 0), pack-reused 30\u001b[K\n", "Unpacking objects: 100% (63/63), 20.20 KiB | 1.12 MiB/s, done.\n" ] } ], "source": [ "!git clone https://huggingface.co/spaces/kevinwang676/seamless-test" ] }, { "cell_type": "code", "source": [ "cd seamless-test" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "DGQBvR8gUt6q", "outputId": "15d01114-20fd-42f5-c99e-08b6b7f0b929" }, "execution_count": 2, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "/content/seamless-test\n" ] } ] }, { "cell_type": "code", "source": [ "pip install -r requirements.txt" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "cP3emM0iUvDs", "outputId": "c571a3f6-1355-4dde-fd56-0b7f6c3aa9dd" }, "execution_count": 3, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Collecting gradio (from -r requirements.txt (line 1))\n", " Downloading gradio-4.9.0-py3-none-any.whl (16.6 MB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m16.6/16.6 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markdown-it-py>=2.2.0->rich<14.0.0,>=10.11.0->typer[all]<1.0,>=0.9->gradio->-r requirements.txt (line 1)) (0.1.2)\n", "Building wheels for collected packages: fairseq, antlr4-python3-runtime, ffmpy\n", " Building wheel for fairseq (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for fairseq: filename=fairseq-0.12.2-cp310-cp310-linux_x86_64.whl size=11291807 sha256=3d5ae9470c79fbcd9a0cfabc0c06110b2b664958f72630f9e316f445f018b81a\n", " Stored in directory: /root/.cache/pip/wheels/e4/35/55/9c66f65ec7c83fd6fbc2b9502a0ac81b2448a1196159dacc32\n", " Building wheel for antlr4-python3-runtime (setup.py) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for antlr4-python3-runtime: filename=antlr4_python3_runtime-4.8-py3-none-any.whl size=141210 sha256=72b3d7a42fecca91d5429b84af190e717d7ed7681daf1c54964184dbdb45b6c8\n", " Stored in directory: /root/.cache/pip/wheels/a7/20/bd/e1477d664f22d99989fd28ee1a43d6633dddb5cb9e801350d5\n", " Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for ffmpy: filename=ffmpy-0.3.1-py3-none-any.whl size=5579 sha256=4c733b590e47117478c8ecb6169f3fa2d38f3106ea722eba339d3ac58e36bae3\n", " Stored in directory: /root/.cache/pip/wheels/01/a6/d1/1c0828c304a4283b2c1639a09ad86f83d7c487ef34c6b4a1bf\n", "Successfully built fairseq antlr4-python3-runtime ffmpy\n", "Installing collected packages: pydub, ffmpy, bitarray, antlr4-python3-runtime, websockets, typing-extensions, tomlkit, shellingham, semantic-version, python-multipart, portalocker, orjson, h11, colorama, annotated-types, aiofiles, uvicorn, starlette, sacrebleu, pydantic-core, omegaconf, httpcore, pydantic, hydra-core, httpx, gradio-client, fastapi, fairseq, gradio\n", " Attempting uninstall: typing-extensions\n", " Found existing installation: typing_extensions 4.5.0\n", " Uninstalling typing_extensions-4.5.0:\n", " Successfully uninstalled typing_extensions-4.5.0\n", " Attempting uninstall: pydantic\n", " Found existing installation: pydantic 1.10.13\n", " Uninstalling pydantic-1.10.13:\n", " Successfully uninstalled pydantic-1.10.13\n", "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", "lida 0.0.10 requires kaleido, which is not installed.\n", "llmx 0.0.15a0 requires cohere, which is not installed.\n", "llmx 0.0.15a0 requires openai, which is not installed.\n", "llmx 0.0.15a0 requires tiktoken, which is not installed.\n", "tensorflow-probability 0.22.0 requires typing-extensions<4.6.0, but you have typing-extensions 4.9.0 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mSuccessfully installed aiofiles-23.2.1 annotated-types-0.6.0 antlr4-python3-runtime-4.8 bitarray-2.8.5 colorama-0.4.6 fairseq-0.12.2 fastapi-0.105.0 ffmpy-0.3.1 gradio-4.9.0 gradio-client-0.7.2 h11-0.14.0 httpcore-1.0.2 httpx-0.25.2 hydra-core-1.0.7 omegaconf-2.0.6 orjson-3.9.10 portalocker-2.8.2 pydantic-2.5.2 pydantic-core-2.14.5 pydub-0.25.1 python-multipart-0.0.6 sacrebleu-2.4.0 semantic-version-2.10.0 shellingham-1.5.4 starlette-0.27.0 tomlkit-0.12.0 typing-extensions-4.9.0 uvicorn-0.24.0.post1 websockets-11.0.3\n" ] } ] }, { "cell_type": "code", "source": [ "!pip install speechbrain\n", "!pip install scipy" ], "metadata": { "id": "WGcLBt27o74O", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "de5f8ee6-0ff8-4fed-83eb-372b74b8352f" }, "execution_count": 4, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Collecting speechbrain\n", " Downloading speechbrain-0.5.16-py3-none-any.whl (630 kB)\n", "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/630.6 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m81.9/630.6 kB\u001b[0m \u001b[31m2.2 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m630.6/630.6 kB\u001b[0m \u001b[31m9.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hCollecting hyperpyyaml (from speechbrain)\n", 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[ "Collecting git+https://github.com/facebookresearch/seamless_communication\n", " Cloning https://github.com/facebookresearch/seamless_communication to /tmp/pip-req-build-7owz0r0f\n", " Running command git clone --filter=blob:none --quiet https://github.com/facebookresearch/seamless_communication /tmp/pip-req-build-7owz0r0f\n", " Resolved https://github.com/facebookresearch/seamless_communication to commit 58796ae18822d94c8315b420424dbfda8873455e\n", " Running command git submodule update --init --recursive -q\n", " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n", " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n", " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", "Collecting datasets (from seamless-communication==1.0.0)\n", " Downloading datasets-2.15.0-py3-none-any.whl (521 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m521.2/521.2 kB\u001b[0m \u001b[31m7.5 MB/s\u001b[0m eta 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directory: /root/.cache/pip/wheels/90/d4/f7/9404e5db0116bd4d43e5666eaa3e70ab53723e1e3ea40c9a95\n", " Building wheel for openai-whisper (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for openai-whisper: filename=openai_whisper-20231117-py3-none-any.whl size=801356 sha256=e4a15f6170014663ae0cb51054692f874e9e70f59ef5a6ef166ae838b985ac57\n", " Stored in directory: /root/.cache/pip/wheels/d0/85/e1/9361b4cbea7dd4b7f6702fa4c3afc94877952eeb2b62f45f56\n", "Successfully built seamless-communication fire openai-whisper\n", "Installing collected packages: textgrid, brotli, bitarray, tqdm, torcheval, rapidfuzz, pyflakes, pycryptodomex, pycodestyle, pyarrow-hotfix, overrides, 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, mutagen, mccabe, fire, dill, coverage, yt-dlp, tiktoken, nvidia-cusparse-cu12, nvidia-cudnn-cu12, multiprocess, jiwer, flake8, pytest-flake8, pytest-cov, nvidia-cusolver-cu12, torch, simuleval, datasets, torchaudio, openai-whisper, fairseq2n, fairseq2, seamless-communication\n", " Attempting uninstall: bitarray\n", " Found existing installation: bitarray 2.8.5\n", " Uninstalling bitarray-2.8.5:\n", " Successfully uninstalled bitarray-2.8.5\n", " Attempting uninstall: tqdm\n", " Found existing installation: tqdm 4.66.1\n", " Uninstalling tqdm-4.66.1:\n", " Successfully uninstalled tqdm-4.66.1\n", " Attempting uninstall: torch\n", " Found existing installation: torch 2.1.0+cu118\n", " Uninstalling torch-2.1.0+cu118:\n", " Successfully uninstalled torch-2.1.0+cu118\n", " Attempting uninstall: torchaudio\n", " Found existing installation: torchaudio 2.1.0+cu118\n", " Uninstalling torchaudio-2.1.0+cu118:\n", " Successfully uninstalled torchaudio-2.1.0+cu118\n", "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", "llmx 0.0.15a0 requires cohere, which is not installed.\n", "llmx 0.0.15a0 requires openai, which is not installed.\n", "torchdata 0.7.0 requires torch==2.1.0, but you have torch 2.1.1 which is incompatible.\n", "torchtext 0.16.0 requires torch==2.1.0, but you have torch 2.1.1 which is incompatible.\n", "torchvision 0.16.0+cu118 requires torch==2.1.0, but you have torch 2.1.1 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mSuccessfully installed bitarray-2.6.0 brotli-1.1.0 coverage-7.3.3 datasets-2.15.0 dill-0.3.7 fairseq2-0.2.0 fairseq2n-0.2.0 fire-0.5.0 flake8-6.1.0 jiwer-3.0.3 mccabe-0.7.0 multiprocess-0.70.15 mutagen-1.47.0 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.18.1 nvidia-nvjitlink-cu12-12.3.101 nvidia-nvtx-cu12-12.1.105 openai-whisper-20231117 overrides-7.4.0 pyarrow-hotfix-0.6 pycodestyle-2.11.1 pycryptodomex-3.19.0 pyflakes-3.1.0 pytest-cov-4.1.0 pytest-flake8-1.1.1 rapidfuzz-3.5.2 seamless-communication-1.0.0 simuleval-1.1.4 textgrid-1.5 tiktoken-0.5.2 torch-2.1.1 torchaudio-2.1.1 torcheval-0.0.7 tqdm-4.64.1 yt-dlp-2023.11.16\n" ] } ] }, { "cell_type": "code", "source": [ "pip install torchvision==0.16.0+cu121 --extra-index-url https://download.pytorch.org/whl/cu121" ], "metadata": { "id": "anulr4eRxZ8M", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "3b41d6e0-db0c-4b7b-c991-4a3515c5a697" }, "execution_count": 6, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu121\n", "Collecting torchvision==0.16.0+cu121\n", " Downloading https://download.pytorch.org/whl/cu121/torchvision-0.16.0%2Bcu121-cp310-cp310-linux_x86_64.whl (7.0 MB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.0/7.0 MB\u001b[0m \u001b[31m46.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hRequirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from torchvision==0.16.0+cu121) (1.23.5)\n", "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from torchvision==0.16.0+cu121) (2.31.0)\n", "Collecting torch==2.1.0 (from torchvision==0.16.0+cu121)\n", " Downloading https://download.pytorch.org/whl/cu121/torch-2.1.0%2Bcu121-cp310-cp310-linux_x86_64.whl (2200.6 MB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.2/2.2 GB\u001b[0m \u001b[31m863.6 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hRequirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.10/dist-packages (from torchvision==0.16.0+cu121) (9.4.0)\n", "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch==2.1.0->torchvision==0.16.0+cu121) (3.13.1)\n", "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch==2.1.0->torchvision==0.16.0+cu121) (4.9.0)\n", "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch==2.1.0->torchvision==0.16.0+cu121) (1.12)\n", "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch==2.1.0->torchvision==0.16.0+cu121) (3.2.1)\n", "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch==2.1.0->torchvision==0.16.0+cu121) (3.1.2)\n", "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch==2.1.0->torchvision==0.16.0+cu121) (2023.6.0)\n", "Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch==2.1.0->torchvision==0.16.0+cu121) (2.1.0)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision==0.16.0+cu121) (3.3.2)\n", "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision==0.16.0+cu121) (3.6)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision==0.16.0+cu121) (2.0.7)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision==0.16.0+cu121) (2023.11.17)\n", "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch==2.1.0->torchvision==0.16.0+cu121) (2.1.3)\n", "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch==2.1.0->torchvision==0.16.0+cu121) (1.3.0)\n", "Installing collected packages: torch, torchvision\n", " Attempting uninstall: torch\n", " Found existing installation: torch 2.1.1\n", " Uninstalling torch-2.1.1:\n", " Successfully uninstalled torch-2.1.1\n", " Attempting uninstall: torchvision\n", " Found existing installation: torchvision 0.16.0+cu118\n", " Uninstalling torchvision-0.16.0+cu118:\n", " Successfully uninstalled torchvision-0.16.0+cu118\n", "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", "fairseq2n 0.2.0 requires torch==2.1.1, but you have torch 2.1.0+cu121 which is incompatible.\n", "torchaudio 2.1.1 requires torch==2.1.1, but you have torch 2.1.0+cu121 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mSuccessfully installed torch-2.1.0+cu121 torchvision-0.16.0+cu121\n" ] } ] }, { "cell_type": "code", "source": [ "!python app.py" ], "metadata": { "id": "UeEwvvlDU6OF", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "edb3270e-45cb-45d3-9d30-f96990260c08" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[1;30;43m流式输出内容被截断，只能显示最后 5000 行内容。\u001b[0m\n", "\n", "\n", "model-00002-of-00002.safetensors: 47% 2.00G/4.24G [00:30<00:14, 152MB/s]\u001b[A\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 22% 2.03G/9.07G [00:30<00:45, 155MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", 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"seamlessM4T_v2_large.pt: 60% 5.42G/9.07G [01:17<00:26, 138MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 48% 5.43G/11.4G [01:18<00:41, 142MB/s]\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 48% 5.45G/11.4G [01:18<00:38, 156MB/s]\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 48% 5.49G/11.4G [01:18<00:29, 203MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 60% 5.44G/9.07G [01:18<00:35, 102MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 49% 5.53G/11.4G [01:18<00:29, 201MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 60% 5.47G/9.07G [01:18<00:28, 125MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 49% 5.55G/11.4G [01:18<00:30, 193MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 61% 5.49G/9.07G [01:18<00:26, 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"\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 69% 6.24G/9.07G [01:24<00:10, 261MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 55% 6.30G/11.4G [01:25<00:21, 236MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 69% 6.28G/9.07G [01:24<00:09, 288MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 56% 6.33G/11.4G [01:25<00:20, 242MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 70% 6.31G/9.07G [01:24<00:09, 291MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 56% 6.38G/11.4G [01:25<00:18, 272MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 70% 6.35G/9.07G [01:25<00:08, 302MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 56% 6.42G/11.4G [01:25<00:16, 295MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 70% 6.39G/9.07G [01:25<00:09, 298MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 71% 6.43G/9.07G [01:25<00:08, 304MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 57% 6.45G/11.4G [01:25<00:20, 239MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 71% 6.46G/9.07G [01:25<00:10, 255MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 57% 6.48G/11.4G [01:25<00:22, 214MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 72% 6.49G/9.07G [01:25<00:11, 223MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 57% 6.51G/11.4G [01:25<00:23, 204MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 72% 6.52G/9.07G [01:25<00:12, 200MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 57% 6.54G/11.4G [01:26<00:26, 183MB/s]\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 58% 6.56G/11.4G [01:26<00:26, 181MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 72% 6.55G/9.07G [01:26<00:13, 188MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 58% 6.59G/11.4G [01:26<00:28, 168MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 72% 6.57G/9.07G [01:26<00:14, 172MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 58% 6.61G/11.4G [01:26<00:32, 149MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 73% 6.60G/9.07G [01:26<00:15, 162MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 58% 6.63G/11.4G [01:26<00:32, 148MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 73% 6.62G/9.07G [01:26<00:15, 154MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 58% 6.65G/11.4G [01:26<00:33, 141MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 73% 6.64G/9.07G [01:26<00:17, 140MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 59% 6.67G/11.4G [01:27<00:34, 136MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 73% 6.66G/9.07G [01:26<00:17, 136MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 59% 6.69G/11.4G [01:27<00:36, 128MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 74% 6.68G/9.07G [01:27<00:18, 133MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 59% 6.71G/11.4G [01:27<00:36, 129MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 74% 6.70G/9.07G [01:27<00:18, 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"\n", "seamlessM4T_v2_large.pt: 76% 6.87G/9.07G [01:29<00:51, 42.6MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 61% 6.93G/11.4G [01:30<01:29, 49.6MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 76% 6.90G/9.07G [01:29<00:34, 63.6MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 61% 6.96G/11.4G [01:30<01:02, 71.0MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 77% 6.94G/9.07G [01:30<00:22, 96.5MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 62% 7.00G/11.4G [01:30<00:41, 105MB/s] \u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 77% 6.97G/9.07G [01:30<00:17, 117MB/s] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 62% 7.04G/11.4G [01:30<00:36, 121MB/s]\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 62% 7.08G/11.4G [01:30<00:28, 154MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 77% 6.99G/9.07G [01:30<00:19, 106MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 77% 7.01G/9.07G [01:30<00:17, 116MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 62% 7.11G/11.4G [01:30<00:25, 165MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 78% 7.04G/9.07G [01:30<00:15, 127MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 63% 7.14G/11.4G [01:30<00:25, 167MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 78% 7.06G/9.07G [01:30<00:14, 136MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 63% 7.16G/11.4G [01:31<00:26, 160MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 78% 7.08G/9.07G [01:30<00:13, 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"\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 80% 7.27G/9.07G [01:32<00:12, 140MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 65% 7.35G/11.4G [01:32<00:28, 140MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 80% 7.29G/9.07G [01:32<00:12, 140MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 65% 7.37G/11.4G [01:32<00:28, 139MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 81% 7.31G/9.07G [01:32<00:12, 137MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 65% 7.39G/11.4G [01:32<00:29, 137MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 81% 7.33G/9.07G [01:32<00:12, 135MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 65% 7.41G/11.4G [01:32<00:29, 133MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 81% 7.35G/9.07G [01:32<00:13, 132MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 65% 7.43G/11.4G [01:33<00:30, 128MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 81% 7.37G/9.07G [01:33<00:13, 125MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 65% 7.46G/11.4G [01:33<00:31, 125MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 82% 7.39G/9.07G [01:33<00:13, 122MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 66% 7.48G/11.4G [01:33<00:32, 120MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 82% 7.41G/9.07G [01:33<00:13, 120MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 82% 7.43G/9.07G [01:33<00:13, 123MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 66% 7.50G/11.4G [01:33<00:43, 89.5MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 82% 7.46G/9.07G [01:33<00:11, 137MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 82% 7.48G/9.07G [01:33<00:10, 149MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 66% 7.53G/11.4G [01:34<00:33, 117MB/s] \u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 66% 7.55G/11.4G [01:34<00:29, 131MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 83% 7.51G/9.07G [01:33<00:09, 168MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 83% 7.53G/9.07G [01:34<00:08, 175MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 67% 7.58G/11.4G [01:34<00:24, 154MB/s]\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 67% 7.60G/11.4G [01:34<00:23, 163MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 83% 7.56G/9.07G [01:34<00:08, 187MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 67% 7.63G/11.4G [01:34<00:21, 177MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 84% 7.59G/9.07G [01:34<00:07, 193MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 67% 7.65G/11.4G [01:34<00:20, 180MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 84% 7.61G/9.07G [01:34<00:07, 196MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 67% 7.69G/11.4G [01:34<00:18, 199MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 84% 7.64G/9.07G [01:34<00:06, 211MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 68% 7.72G/11.4G [01:34<00:16, 223MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 85% 7.69G/9.07G [01:34<00:05, 249MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 68% 7.76G/11.4G [01:35<00:14, 256MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 85% 7.72G/9.07G [01:34<00:05, 255MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 85% 7.75G/9.07G [01:34<00:04, 269MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 68% 7.79G/11.4G [01:35<00:14, 252MB/s]\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 69% 7.82G/11.4G [01:35<00:13, 266MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 86% 7.79G/9.07G [01:35<00:04, 292MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 69% 7.86G/11.4G [01:35<00:12, 283MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 86% 7.82G/9.07G [01:35<00:04, 283MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 69% 7.90G/11.4G [01:35<00:12, 275MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 87% 7.85G/9.07G [01:35<00:04, 254MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 70% 7.93G/11.4G [01:35<00:14, 231MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 87% 7.89G/9.07G [01:35<00:05, 221MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 70% 7.96G/11.4G [01:35<00:16, 209MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 87% 7.92G/9.07G [01:35<00:05, 204MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 70% 7.99G/11.4G [01:36<00:17, 192MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 88% 7.95G/9.07G [01:35<00:05, 196MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 70% 8.01G/11.4G [01:36<00:17, 189MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 88% 7.97G/9.07G [01:36<00:06, 175MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 71% 8.03G/11.4G [01:36<00:19, 176MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 88% 7.99G/9.07G [01:36<00:06, 159MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 71% 8.05G/11.4G [01:36<00:19, 172MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 88% 8.01G/9.07G [01:36<00:06, 158MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 71% 8.07G/11.4G [01:36<00:19, 166MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 89% 8.03G/9.07G [01:36<00:06, 151MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 71% 8.10G/11.4G [01:36<00:20, 159MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 89% 8.05G/9.07G [01:36<00:06, 146MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 71% 8.12G/11.4G [01:36<00:21, 150MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 89% 8.07G/9.07G [01:36<00:07, 142MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 71% 8.14G/11.4G [01:37<00:22, 145MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 89% 8.10G/9.07G [01:36<00:06, 143MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 72% 8.16G/11.4G [01:37<00:22, 142MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 89% 8.12G/9.07G [01:37<00:06, 142MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 72% 8.18G/11.4G [01:37<00:22, 143MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 90% 8.14G/9.07G [01:37<00:06, 142MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 72% 8.20G/11.4G [01:37<00:22, 141MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 90% 8.16G/9.07G [01:37<00:06, 141MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 72% 8.22G/11.4G [01:37<00:22, 141MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 90% 8.18G/9.07G [01:37<00:06, 139MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 72% 8.24G/11.4G [01:37<00:22, 138MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 90% 8.20G/9.07G [01:37<00:06, 135MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 73% 8.26G/11.4G [01:38<00:23, 134MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 91% 8.22G/9.07G [01:37<00:06, 131MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 73% 8.28G/11.4G [01:38<00:23, 130MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 91% 8.24G/9.07G [01:38<00:06, 128MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 73% 8.30G/11.4G [01:38<00:24, 126MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 91% 8.26G/9.07G [01:38<00:06, 124MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 73% 8.33G/11.4G [01:38<00:24, 124MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 91% 8.28G/9.07G [01:38<00:06, 122MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 73% 8.35G/11.4G [01:38<00:25, 118MB/s]\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 73% 8.37G/11.4G [01:38<00:23, 126MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 92% 8.30G/9.07G [01:38<00:07, 103MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 74% 8.39G/11.4G [01:39<00:23, 125MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 92% 8.34G/9.07G [01:38<00:05, 129MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 74% 8.41G/11.4G [01:39<00:23, 128MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 92% 8.36G/9.07G [01:38<00:05, 130MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 74% 8.43G/11.4G [01:39<00:22, 130MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 92% 8.38G/9.07G [01:39<00:05, 133MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 74% 8.45G/11.4G [01:39<00:24, 121MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 93% 8.40G/9.07G [01:39<00:05, 113MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 74% 8.47G/11.4G [01:41<01:19, 36.6MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 93% 8.42G/9.07G [01:40<00:17, 37.9MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 93% 8.44G/9.07G [01:40<00:12, 49.4MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 75% 8.50G/11.4G [01:41<00:53, 53.7MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 93% 8.46G/9.07G [01:41<00:09, 62.0MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 75% 8.52G/11.4G [01:41<00:44, 64.3MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 94% 8.48G/9.07G [01:41<00:07, 75.2MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 75% 8.55G/11.4G [01:41<00:38, 74.6MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 94% 8.50G/9.07G [01:41<00:06, 87.4MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 75% 8.57G/11.4G [01:41<00:32, 86.7MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 94% 8.52G/9.07G [01:41<00:05, 97.3MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 75% 8.59G/11.4G [01:41<00:29, 96.3MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 94% 8.55G/9.07G [01:41<00:04, 106MB/s] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 76% 8.61G/11.4G [01:41<00:26, 105MB/s] \u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 94% 8.57G/9.07G [01:41<00:04, 114MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 76% 8.63G/11.4G [01:42<00:24, 114MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 95% 8.59G/9.07G [01:41<00:03, 122MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 76% 8.65G/11.4G [01:42<00:25, 106MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 95% 8.61G/9.07G [01:42<00:03, 129MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 76% 8.68G/11.4G [01:42<00:20, 131MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 95% 8.63G/9.07G [01:42<00:03, 131MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 76% 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"\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 97% 8.82G/9.07G [01:43<00:02, 119MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 78% 8.89G/11.4G [01:44<00:20, 121MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 97% 8.84G/9.07G [01:44<00:01, 123MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 78% 8.91G/11.4G [01:44<00:18, 135MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 98% 8.86G/9.07G [01:44<00:01, 135MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "m4t_v2_multitask_unity2.pt: 78% 8.93G/11.4G [01:44<00:17, 141MB/s]\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 98% 8.88G/9.07G [01:44<00:01, 143MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n", "\n", "\n", "\n", "\n", "\n", "seamlessM4T_v2_large.pt: 98% 8.90G/9.07G [01:45<00:04, 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Set `force` to `True` to download again.\n", "Downloading the etox dataset...\n", "100% 238k/238k [00:00<00:00, 35.2MB/s]\n", "Extracting the etox dataset...\n", "Downloading the tokenizer of mintox...\n", "100% 4.63M/4.63M [00:00<00:00, 181MB/s]\n", "/usr/local/lib/python3.10/dist-packages/torch/nn/utils/weight_norm.py:30: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.\n", " warnings.warn(\"torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.\")\n", "2023-12-14 14:09:52,441 INFO -- httpx: HTTP Request: GET https://api.gradio.app/pkg-version \"HTTP/1.1 200 OK\"\n", "2023-12-14 14:09:52,453 INFO -- httpx: HTTP Request: GET https://checkip.amazonaws.com/ \"HTTP/1.1 200 OK\"\n", "Running on local URL: http://127.0.0.1:7860\n", "2023-12-14 14:09:53,012 INFO -- httpx: HTTP Request: GET https://api.gradio.app/pkg-version \"HTTP/1.1 200 OK\"\n", "2023-12-14 14:09:53,036 INFO -- httpx: HTTP Request: GET https://checkip.amazonaws.com/ \"HTTP/1.1 200 OK\"\n", "2023-12-14 14:09:53,485 INFO -- httpx: HTTP Request: GET https://checkip.amazonaws.com/ \"HTTP/1.1 200 OK\"\n", "2023-12-14 14:09:53,594 INFO -- httpx: HTTP Request: GET https://api.gradio.app/pkg-version \"HTTP/1.1 200 OK\"\n", "2023-12-14 14:09:53,647 INFO -- httpx: HTTP Request: GET http://127.0.0.1:7860/startup-events \"HTTP/1.1 200 OK\"\n", "2023-12-14 14:09:53,676 INFO -- httpx: HTTP Request: HEAD http://127.0.0.1:7860/ \"HTTP/1.1 200 OK\"\n", "2023-12-14 14:09:53,845 INFO -- httpx: HTTP Request: GET https://api.gradio.app/pkg-version \"HTTP/1.1 200 OK\"\n", "2023-12-14 14:09:53,858 INFO -- httpx: HTTP Request: GET https://checkip.amazonaws.com/ \"HTTP/1.1 200 OK\"\n", "2023-12-14 14:09:53,999 INFO -- httpx: HTTP Request: GET https://checkip.amazonaws.com/ \"HTTP/1.1 200 OK\"\n", "2023-12-14 14:09:54,011 INFO -- httpx: HTTP Request: GET https://api.gradio.app/pkg-version \"HTTP/1.1 200 OK\"\n", "2023-12-14 14:09:54,258 INFO -- httpx: HTTP Request: GET https://api.gradio.app/pkg-version \"HTTP/1.1 200 OK\"\n", "2023-12-14 14:09:54,263 INFO -- httpx: HTTP Request: GET https://checkip.amazonaws.com/ \"HTTP/1.1 200 OK\"\n", "2023-12-14 14:09:54,427 INFO -- httpx: HTTP Request: POST https://api.gradio.app/gradio-initiated-analytics/ \"HTTP/1.1 200 OK\"\n", "2023-12-14 14:09:54,549 INFO -- httpx: HTTP Request: POST https://api.gradio.app/gradio-initiated-analytics/ \"HTTP/1.1 200 OK\"\n", "2023-12-14 14:09:54,640 INFO -- httpx: HTTP Request: POST https://api.gradio.app/gradio-initiated-analytics/ \"HTTP/1.1 200 OK\"\n", "2023-12-14 14:09:54,762 INFO -- httpx: HTTP Request: POST https://api.gradio.app/gradio-initiated-analytics/ \"HTTP/1.1 200 OK\"\n", "2023-12-14 14:09:54,901 INFO -- httpx: HTTP Request: POST https://api.gradio.app/gradio-initiated-analytics/ \"HTTP/1.1 200 OK\"\n", "2023-12-14 14:09:55,185 INFO -- httpx: HTTP Request: POST https://api.gradio.app/gradio-initiated-analytics/ \"HTTP/1.1 200 OK\"\n", "2023-12-14 14:09:55,259 INFO -- httpx: HTTP Request: GET https://api.gradio.app/v2/tunnel-request \"HTTP/1.1 200 OK\"\n", "2023-12-14 14:09:55,373 INFO -- httpx: HTTP Request: GET https://cdn-media.huggingface.co/frpc-gradio-0.2/frpc_linux_amd64 \"HTTP/1.1 200 OK\"\n", "Running on public URL: https://d95a9778298378d0ef.gradio.live\n", "\n", "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n", "2023-12-14 14:09:56,852 INFO -- httpx: HTTP Request: POST https://api.gradio.app/gradio-launched-telemetry/ \"HTTP/1.1 200 OK\"\n", "/usr/local/lib/python3.10/dist-packages/gradio/processing_utils.py:345: UserWarning: Trying to convert audio automatically from int32 to 16-bit int format.\n", " warnings.warn(warning.format(data.dtype))\n", "/usr/local/lib/python3.10/dist-packages/gradio/processing_utils.py:340: UserWarning: Trying to convert audio automatically from float16 to 16-bit int format.\n", " warnings.warn(warning.format(data.dtype))\n", "2023-12-14 14:15:00,572 INFO -- speechbrain.pretrained.fetching: Destination output.wav: local file in /content/seamless-test/output.wav.\n", "/usr/local/lib/python3.10/dist-packages/gradio/processing_utils.py:345: UserWarning: Trying to convert audio automatically from int32 to 16-bit int format.\n", " warnings.warn(warning.format(data.dtype))\n" ] } ] }, { "cell_type": "code", "source": [], "metadata": { "id": "swVy1EW0eoWf" }, "execution_count": null, "outputs": [] } ] }