NewYour coding agent can read the release notes before it upgrades.Set up the MCP server →
PyPI · #2089 most downloaded on PyPI
ModelScope: bring the notion of Model-as-a-Service to life.
Last release 19 days ago
15 Sep 2026
Ships fairly regularly
a new release about every 3 weeks
Nearly every release is documented
notes for 54 of the last 60 stable releases
Nothing withdrawn
no release was ever pulled
4 years old
93 releases · first in 2022
One column per quarter.
Add JAEC native inference pipeline — Introduced a native inference pipeline for Joint Acoustic Echo Cancellation (JAEC) under the audio/AEC module.
deploy_mcp_server / undeploy_mcp_server methods to MCPApi.patch package to build dependencies for both Debian-based and OpenEuler-based Ascend Docker images, and added the PyTorch CPU wheel index to PIP_EXTRA_INDEX_URL to fix dependency resolution on x86 hosts.modelscope-hub for consistent authentication, retry, and error handling; consolidated Studio CLI as a re-export of the hub implementation.Full Changelog: v1.40.0...v1.40.1
Delegate CLI script ownership to modelscope-hub by @wangxingjun778 in #1780 The modelscope / ms console scripts are now owned solely by modelscope-hub
modelscope / ms console scripts are now owned solely by modelscope-hub, requires modelscope-hub>=0.3.0.Full Changelog: v1.39.0...v1.40.0
modelscope / ms 命令行脚本统一由 modelscope-hub 提供,依赖 modelscope-hub>=0.3.0。完整变更:v1.39.0...v1.40.0
update modelscope-hub>=0.2.0 by @wangxingjun778 in #1768
Full Changelog: v1.39.0...v1.39.1
Fix some bugs by @tastelikefeet in #1746
Full Changelog: v1.38.1...v1.39.0
[Backport] Docker fixes from release/1.38 by @Yunnglin in #1735
Full Changelog: v1.38.0...v1.38.1
重构 Hub 与 CLI 模块,将核心 Hub 能力、下载、上传、缓存、Git 操作以及 CLI 入口迁移为基于 modelscope-hub 的兼容层,并通过插件机制保留现有命令;同时更新 modelscope-hub 依赖。更多 modelscope-hub 版本信息可参考 modelscope
modelscope-hub 的兼容层,并通过插件机制保留现有命令;同时更新 modelscope-hub 依赖。更多 modelscope-hub 版本信息可参考 modelscope-hub releases。(#1732、#1733)modelscope studio CLI,可用于部署、停止、查看日志、更新设置和管理 secret。(#1727、#1742)gated_mode 支持,用户可在创建模型/数据集仓库或修改仓库可见性时启用申请制下载。(#1730)trust_remote_code 与可信 owner 识别逻辑,修复官方仓库、本地目录和缓存路径下的授权判断与参数传递问题。(#1720、#1721、#1740)eval() 解析,以及可信 owner 缓存路径解析绕过问题。(#1737、#1742)create_model_tag 在网络抖动或服务端耗时时容易超时的问题,新增可配置超时、重试和退避机制。(#1723)clear-cache 在单模型缓存以及自定义 MODELSCOPE_CACHE 场景下的路径解析问题。(#1724)patch_context() 在异常场景下也能正确恢复 patch 状态。(#1729、#1743)modelscope-hub compatibility layers, while preserving existing commands through plugins; also updated the modelscope-hub dependency. See modelscope-hub releases for more version details. (#1732, #1733)modelscope studio CLI for deploy, stop, logs, settings updates, and secret management. (#1727, #1742)gated_mode support, allowing users to enable application-based downloads when creating model/dataset repositories or updating repository visibility. (#1730)trust_remote_code and trusted-owner detection, fixing authorization checks and parameter propagation for official repositories, local directories, and cached model paths. (#1720, #1721, #1740)eval() parsing, and trusted-owner cache path spoofing. (#1737, #1742)create_model_tag timeout issues under network instability or long server-side operations by adding configurable timeout, retry, and backoff handling. (#1723)clear-cache path resolution for single-model cache cleanup and custom MODELSCOPE_CACHE layouts. (#1724)patch_context() restores patch state even when exceptions occur. (#1729, #1743)trust_remote_code and trusted-owner detection, fixing authorization checks and parameter propagation for official repositories, local directories, and cached model paths. (#1720, #1721, #1740)eval() parsing, and trusted-owner cache path spoofing. (#1737, #1742)create_model_tag timeout issues under network instability or long server-side operations by adding configurable timeout, retry, and backoff handling. (#1723)clear-cache path resolution for single-model cache cleanup and custom MODELSCOPE_CACHE layouts. (#1724)patch_context() restores patch state even when exceptions occur. (#1729, #1743)timm specs in Dockerfile.ubuntu by @Seas0 in #1728gated_mode for create repo by @wangxingjun778 in #1730Full Changelog: v1.37.1...v1.38.0
Fix compatibility issues with trust_remote_code across multiple scenarios.
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.37.0...v1.37.1
Full Changelog: v1.37.0...v1.37.1
为数据集新增基于 split 的过滤功能,支持用户按需加载指定的数据 split,并新增相应的参数校验逻辑。( #1704 )
trust_remote_code parameter for the pipeline and build_trainer functions, requiring users to explicitly grant authorization before executing remote code or plugins, thereby improving usage security. (#1703)Full Changelog: v1.36.3...v1.37.0
CLI 帮助文档 :统一 --endpoint 参数描述,移除冗余站点标签
--endpoint 参数描述,移除冗余站点标签 (#1696)create 命令添加 endpoint 支持,新增 --exist_ok 标志;移除冗余的文件大小检查逻辑 (#1699)login/create/upload/download 命令的 endpoint 解析逻辑,新增 resolve_endpoint 工具函数,支持 URL 自动补全与环境变量回退 (#1695)--endpoint parameter description across commands; removed redundant site labels (#1696)--exist_ok flag to create command; removed redundant non-LFS file size checks (#1699)login/create/upload/download commands with new resolve_endpoint utility; supports URL auto-completion and env var fallbacks (#1695)Full Changelog: v1.36.2...v1.36.3
Centralized bearer token handling via _build_bearer_headers in HubApi
_build_bearer_headers in HubApi_parse_openapi_response for maintainabilityUploadTracker for resumable uploads and progress trackingHubApi 基类中统一实现 bearer token 认证逻辑UploadTracker 管理器,支持断点续传与进度追踪Full Changelog: v1.36.1...v1.36.2
ModelScope Download Module Refactor
ModelScope Download Module Refactor
FileDownloadError for granular single-file download failure tracking.pip, setuptools)ModelScope 下载模块重构
FileDownloadError 异常类,支持单文件下载失败的精细化追踪。pip, setuptools)💡 Migration Tip: This is a backward-compatible refactor. No user code changes required, but users will notice faster and more stable downloads, especially for large-scale datasets.
Full Changelog: v1.36.0...v1.36.1
文件夹上传优化:新增生产者-消费者管道机制,并发上传与进度追踪,大幅提升超大型数据集上传效率(#1671)
engine=python 并修复字段长度溢出错误(#1665)vllm-ascend 基础镜像,精简构建步骤,加快镜像生成速度(#1679)engine=python support and resolved field size OverflowError (#1665)vllm-ascend base image and streamlined build process for faster image generation (#1679)Full Changelog: https://github.com/modelscope/modelscope/compare/v1.35.4...v1.36.0
支持 Collections 功能:引入了对模型/数据集集合(Collections)的支持,方便用户更好地组织和管理资源。
新功能 (Features)
修复与优化 (Fixes & Improvements)
Features
Fixes & Improvements
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.35.3...v1.35.4
提升与 datasets 库的兼容性,适配了 4.0 及以上版本的变更,修复了因文件大小获取错误导致的数据预览加载问题,同时重构了代码结构并优化了 API 缓存机制以提升性能。
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.35.2...v1.35.3
modelscope download --collection MiniMax/MiniMax-Office-skills [--token xxx] [--local_dir ./temp]
# Skills will be default placed to `~/.agents/skills`
# Download a collection of skills
modelscope download --collection MiniMax/MiniMax-Office-skills [--token xxx] [--local_dir ./temp]
# Download a batch skills of a single skill
modelscope skills add @MiniMax-AI/minimax-pdf @xxx/xxx [--token xxx]
# Skills will be default placed to `~/.agents/skills`
# Download a collection of skills
modelscope download --collection MiniMax/MiniMax-Office-skills [--token xxx] [--local_dir ./temp]
# Download a batch skills of a single skill
modelscope skills add @MiniMax-AI/minimax-pdf @xxx/xxx [--token xxx]
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.35.1...v1.35.2
Fix an issue that oss2 was required by global import.
oss2 was required by global import.packaging was not included in the dependencies.Full Changelog: https://github.com/modelscope/modelscope/compare/v1.35.0...v1.35.1
ms_dataset模块重构,适配最新的datasets依赖(4.x大版本)
local_files_only configurable by @Potabk in https://github.com/modelscope/modelscope/pull/1632Full Changelog: https://github.com/modelscope/modelscope/compare/v1.34.0...v1.35.0
弃用仓库删除相关 API (#1588): 出于安全考虑,暂时弃用 delete_repo、delete_model 和 delete_dataset 方法。这些方法现在会发出 DeprecationWarning 警告,将在未来版本中基于完善的 token 认证机制重新启用。
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.33.0...v1.34.0
更新默认分支版本(default revision)策略,以提升仓库版本管理的一致性与易用性 #1546 #1553
set_repo_visibility 接口,支持设置模型仓库可见性,并补充可见性参数校验和错误日志提示 #1564 #1568 #1569 #1570snapshot_download 新增 DEFAULT_MAX_WORKERS 参数配置,优化模型快照下载的并发行为 #1566create_model_tag 接口新增参数,支持更灵活的模型标签创建与管理 #1555base_model_sub_type 字段,便于更精细地描述与区分底座模型类型 #1563upload_folder 的默认忽略规则,避免重要文件被错误忽略 #1549hasattr 行为的实验类型定义问题,避免潜在属性检测异常 #1552set_repo_visibility in Hub API to control repository visibility, with input validation and detailed error logging #1564 #1568 #1569 #1570DEFAULT_MAX_WORKERS in snapshot_download to better control concurrent download behavior #1566create_model_tag for more flexible model tag creation and management #1555base_model_sub_type for AIGC models to describe and distinguish base model types more precisely #1563upload_folder to avoid unintentionally skipping important files #1549hasattr behavior and could cause attribute detection issues #1552DEFAULT_MAX_WORKERS in snapshot_download func by @wangxingjun778 in https://github.com/modelscope/modelscope/pull/1566Full Changelog: https://github.com/modelscope/modelscope/compare/v1.32.0...v1.33.0
支持使用 pyproject.toml 来安装 modelscope 库,保证与之前安装方式兼容 #1542
trust_remote_code for _download_additional_modules by @wangxingjun778 in https://github.com/modelscope/modelscope/pull/1521cover_images by @wangxingjun778 in https://github.com/modelscope/modelscope/pull/1533Full Changelog: https://github.com/modelscope/modelscope/compare/v1.31.0...v1.32.0
Integrate support for "official tags" of AIGC models. https://github.com/modelscope/modelscope/pull/1509
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.30.0...v1.31.0
Added support for creating model tags via API or CLI. (@Koko-ry, #1487)
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.29.2...v1.30.0
Support repo_info support for retrieving repository-level metadata (datasets, models) and list all commit info
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.29.1...v1.29.2
Support arg parser when python version >= 3.12, thanks to the contribution of @yaqiangsun
trust_remote_code by @wangxingjun778 in https://github.com/modelscope/modelscope/pull/1462Full Changelog: https://github.com/modelscope/modelscope/compare/v1.29.0...v1.29.1
fix pyyaml according to: https://github.com/Anchor0221/CVE-2025-50460 by @tastelikefeet in https://github.com/modelscope/modelscope/pull/1428
modelscope create <repo_id> --token <token> --visibility <public/private/internal> --aigc --model_path <model_path> --aigc_type <Checkpoint/LoRA/VAE> --base_model_type <base_model_type>
from modelscope.hub.mcp_api import MCPApi
server = MCPApi().get_mcp_server('@modelcontextprotocol/fetch')
...
modelscope create owner/repo_name --token ms-xxx --repo_type model --visibility private --chinese_name 测试模型1 --license MIT
modelscope create <repo_id> --token <token> --visibility <public/private/internal> --aigc --model_path <model_path> --aigc_type <Checkpoint/LoRA/VAE> --base_model_type <base_model_type>
from modelscope.hub.mcp_api import MCPApi
server = MCPApi().get_mcp_server('@modelcontextprotocol/fetch')
...
...
modelscope create owner/repo_name --token ms-xxx --repo_type model --visibility private --chinese_name 测试模型1 --license MIT
uv tool的依赖的问题 by @Tian-Jionglu in https://github.com/modelscope/modelscope/pull/1427MCPApi by @Koko-ry in https://github.com/modelscope/modelscope/pull/1426create cli warning by @wangxingjun778 in https://github.com/modelscope/modelscope/pull/1458Full Changelog: https://github.com/modelscope/modelscope/compare/v1.28.2...v1.29.0
Hotfix datasets features for datasets >=3.0.0, <=3.6.0 #1447
datasets >=3.0.0, <=3.6.0 #1447Full Changelog: https://github.com/modelscope/modelscope/compare/v1.28.1...v1.28.2
Fix use_cookies for get_model_files in delete_files: https://github.com/modelscope/modelscope/pull/1424
use_cookies for get_model_files in delete_files: https://github.com/modelscope/modelscope/pull/1424MODELSCOPE_CREDENTIALS_PATH env for user-defined authorization path: https://github.com/modelscope/modelscope/pull/1423TextToSpeechSambertHifigan16kPipelineTest: https://github.com/modelscope/modelscope/pull/1420snapshot_download: https://github.com/modelscope/modelscope/pull/1417trust_remote_code) for from_pretrained function: https://github.com/modelscope/modelscope/pull/1415get_dataset_infos to avoid list all pages for dataset: https://github.com/modelscope/modelscope/pull/1414delete_files函数中的get_model_files调用,当需要鉴权的场景,需要明确传入use_cookies参数 : https://github.com/modelscope/modelscope/pull/1424MODELSCOPE_CREDENTIALS_PATH,支持用户自定义配置本地授权的存储路径(cookies、session等信息): https://github.com/modelscope/modelscope/pull/1423TextToSpeechSambertHifigan16kPipelineTest(用例失效): https://github.com/modelscope/modelscope/pull/1420snapshot_download中增加weak file lock: https://github.com/modelscope/modelscope/pull/1417from_pretrained中,增加 trust_remote_code`参数,避免插件RCE问题: https://github.com/modelscope/modelscope/pull/1415get_dataset_infos函数中的分页问题:https://github.com/modelscope/modelscope/pull/1414Full Changelog: https://github.com/modelscope/modelscope/compare/v1.28.0...v1.28.1
Added Hub download progress callback: Supports custom callback functions for download progress updates. https://github.com/modelscope/modelscope/pull/
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.27.1...v1.28.0
Set size_threshold_to_enforce_lfs to 1MB #1375
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.27.0...v1.27.1
Enhanced security framework with remote code execution verification mechanism to address vulnerability #1331, allowing explicit trust control for thir…
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.26.0...v1.27.0
Provided adaptive full-chain acceleration for model downloading in cloud environments. #1315
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.25.0...v1.26.0
Added hub APIs such as create_repo and delete_repo. https://github.com/modelscope/modelscope/pull/1282
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.24.1...v1.25.0
Fix load dataset from huggingface hub #1275
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.24.0...v1.24.1
Add env variable MODELSCOPE_PREFER_AI_SITE to specify the endpoint to download models or datasets from. #1248
MODELSCOPE_PREFER_AI_SITE to specify the endpoint to download models or datasets from. #1248command-r7b-arabic、granite3.2-vision、phi4-mini、granite3.2、r1-1776、deepscaler、openthinker template #1247MODELSCOPE_PREFER_AI_SITE,用于指定优先从哪个站点下载模型或数据集。#1248command-r7b-arabic、granite3.2-vision、phi4-mini、granite3.2、r1-1776、deepscaler、openthinker template #1247Full Changelog: https://github.com/modelscope/modelscope/compare/v1.23.2...v1.24.0
Hotfix commit info for uploading in the notebook env. #1244
Nothing published for this version
[Breaking Change] Standardized the model download path from the default ~/.cache/modelscope/hub/ / to ~/.cache/modelscope/hub/models/ / . Additionally…
[Breaking Change] Standardized the model download path from the default ~/.cache/modelscope/hub/<group-id>/<model-id> to ~/.cache/modelscope/hub/models/<group-id>/<model-id>. Additionally, in the official Docker image, the MODELSCOPE_CACHE has changed from /mnt/workspace/.cache/modelscope to /mnt/workspace/.cache/modelscope/hub. To prevent duplicate model downloads, we will automatically migrate models from the previous path to the new path.
The command line supports multiple filtering criteria for uploading and downloading models. Additionally, model uploads are pre-validated on the library side to prevent errors during the upload process.
Added Ollama support for models such as DeepSeek, olmo2, command-r7b, and others.
Improved support for automatically loading Hugging Face (HF) models and Pipelines. Currently, you can import various Auto components from ModelScope into Transformers, as well as PeftModel components from PEFT and Pipeline components from Diffusers. Added monkey patching for huggingface_hub and the from_pretrained-like method from transformers and peft to facilitate developers in using ModelScope to download and upload models. The patch for Hugging Face components is not enabled by default; developers need to manually enable it by using:
from modelscope.utils.hf_util.patcher import patch_hub
patch_hub()
or a context version:
from modelscope.utils.hf_util.patcher import patch_context
with patch_context():
# do something
[Break Change] Remove easyrobust from dependencies to upgrade the version of timm。If user want to use models related to easyrobust,please manullay install it by: pip install easyrobust
[Break Change] 标准化了模型下载路径,从默认的~/.cache/modelscope/hub/<group-id>/<model-id>变为~/.cache/modelscope/hub/**models**/<group-id>/<model-id>,同时MODELSCOPE_CACHE在官方docker镜像中从/mnt/workspace/.cache/modelscope变为/mnt/workspace/.cache/modelscope/hub。为了防止模型重复下载,我们会自动将前版本路径的模型迁移到新的路径上
命令行进行模型的上传/下载支持多重过滤条件。另外,模型上传在library侧进行提前校验,防止上传过程中出现错误
增加了DeepSeek、olmo2、command-r7b等模型的ollama支持
对HF的模型和Pipeline自动加载有了更好的支持。目前可以从modelscope中 import transformers的各类Auto组件,以及peft的PeftModel组件和diffusers的Pipeline组件。增加了对huggingface_hub和transformers和peft的from_pretrained等模型下载方法的monkey patch,方便开发者使用魔搭下载和上传模型。对huggingface组件的patch默认不会开启,开发者需要通过如下方式手动开启使用:
from modelscope.utils.hf_util.patcher import patch_hub
patch_hub()
or a context version:
from modelscope.utils.hf_util.patcher import patch_context
with patch_context():
# do something
[Break Change] 移除了easyrobust依赖,以便于升级timm依赖。如果使用easyrobust相关的模型,请手动安装该依赖:pip install easyrobust
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.22.3...v1.23.0
Fix cookies issue due to cloud firewall token expired #1193
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.22.2...v1.22.3
Add file name for uploading progress bar #1186
commit failed issue for some casescommit failed问题Support upload file and folder in the hub api #1152
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.22.0...v1.22.1
Nothing published for this version
Fix command line for downloading datasets
Optimize log recording #1080 #1081 #1093 #1089 #1099
llamafile option via the command line #1087llamafile #1097llm_first parameter in create_pipeline has been changed to external_engine_for_llm; the input for LLMPipeline must be in the messages format #1094snapshot_download and dataset_snapshot_download support multi-threaded downloads, controlled by the max_workers parameter, with a default of 8 #1095 #1108llamafile选项启动LLM #1087llamafile自动使用GPU #1097create_pipeline参数llm_first变更为external_engine_for_llm ;LLMPipeline的input需为messages格式 #1094snapshot_download和dataset_snapshot_download支持多线程下载,通过max_workers参数控制并发数量,默认数量为8 #1095 #1108Full Changelog: https://github.com/modelscope/modelscope/compare/v1.20.1...v1.21.0
Fix an import error which may cause snapshot_download fails when using a clean python env
snapshot_download fails when using a clean python envsnapshot_downloadfacial_68ldk_detection pipelinesnapshot_download依赖报错的问题snapshot_download的日志Full Changelog: https://github.com/modelscope/modelscope/compare/v1.20.0...v1.20.1
iic/speech_zipenhancer_ans_multiloss_16k_base. https://github.com/modelscope/modelscope/pull/1019
split by @suluyana in https://github.com/modelscope/modelscope/pull/1039Full Changelog: https://github.com/modelscope/modelscope/compare/v1.19.2...v1.20.0
Hotfix: Set datasets<=3.0.1 to fix datasets import error
Hotfix: Set datasets<=3.0.1 to fix datasets import error
Update version of outlines and vllm in docker file: https://github.com/modelscope/modelscope/pull/1034
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.19.0...release/1.19
Add clear-cache for modelscope command line , refer to: https://github.com/modelscope/modelscope/pull/1009
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.18.1...release/1.19
Fix a bug that zero-sized file cannot be download
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.18.0...v1.18.1
Load repo files downloaded by modelscope download --dataset with MsDataset.load
modelscope download --dataset with MsDataset.load| No. | Model-id and links |
|---|---|
| 1 | Facial 68 landmark detection |
modelscope download --dataset下载的数据集,支持使用MsDataset.load加载| No. | Model-id and links |
|---|---|
| 1 | 真人人脸68个关键点检测 |
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.17.0...v1.18.0
Nothing published for this version
Included the --token parameter in the command line interface.
| No. | Model-id and links |
|---|---|
| 1 | 单目人体图像法向估计 |
Nothing published for this version
| 1 | ERes2NetV2说话人确认-中文-通用-200k-Spkrs |
| No. | Model-id and links |
|---|---|
| 1 | ERes2NetV2说话人确认-中文-通用-200k-Spkrs |
| 1 | TDNN说话人确认-英文-VoxCeleb-16k-离线-pytorch |
| No. | Model-id and links |
|---|---|
| 1 | TDNN说话人确认-英文-VoxCeleb-16k-离线-pytorch |
| 2 | SDPN说话人确认-英文-VoxCeleb-16k-离线-pytorch |
| 3 | glm-4-9b series |
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.14.0...v1.15.0
Dataset refactoring, to be compatible with HF datasets structure, new to limit datasets<2.19.0 (Breaking Changes)
| No. | Model-id and links |
|---|---|
| 1 | Qwen1.5-110B-Chat |
| 2 | CodeQwen1.5-7B-Chat |
| 3 | WizardLM-2-8x22B |
| 4 | c4ai-command-r-v01 |
| 5 | 通义千问1.5-32B-对话 |
| 6 | dbrx-instruct |
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.13.2...v1.14.0
Nothing published for this version
Dataset refactoring, to be compatible with HF datasets structure. (Breaking Changes)
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.13.1...v1.13.2
| 1 | GeoMVSNet:基于几何感知的多视图深度估计 |
| No. | Model-id and links |
|---|---|
| 1 | GeoMVSNet:基于几何感知的多视图深度估计 |
| 2 | Res2Net说话人确认-中文-3D-Speaker-16k |
| 3 | ResNet34说话人确认-中文-3D-Speaker-16k |
| 4 | 自监督深度补全 |
Full Changelog: https://github.com/modelscope/modelscope/compare/v1.12.0...v1.13.1
Nothing published for this version
Your coding agent can read these notes before it upgrades. Set up the MCP server →