When the arg is only in kwargs, downloading and then forcing a
positional overwrite caused a duplicate-keyword TypeError. Resolve and
update kwargs or args consistently for both the download and cross-repo
branches.
Co-authored-by: Cursor <cursoragent@cursor.com>
Path(model_dir).stem on revisions like v1.0.4 produced v1.0, so
importlib treated it as package v1 and raised ModuleNotFoundError.
Use the owner--name (+ revision) segment and sanitize to an identifier.
Co-authored-by: Cursor <cursoragent@cursor.com>
The TypeError from mutating *args was already fixed with the auto_map
double-dash change; add an explicit regression test for that branch.
Co-authored-by: Cursor <cursoragent@cursor.com>
check_model_from_owner_group treated paths like iic--/snapshots/v1 as
trusted because split('--') still yields two parts. Require both owner
and name segments to be non-empty.
Co-authored-by: Cursor <cursoragent@cursor.com>
modelscope_hub 0.1.x layout embeds -- in local dirs; rejoining that
path into class_reference broke transformers' split("--"). Pass the
local snapshot as pretrained_model_name_or_path with a bare class name
instead, and stop mutating the args tuple in place.
Co-authored-by: Cursor <cursoragent@cursor.com>
Temporarily pin for the 1.39.0 release: TE 2.17 has no prebuilt
transformer_engine_torch wheels and fails to compile from source.
Co-authored-by: Cursor <cursoragent@cursor.com>
Add image_type=amd that auto-resolves the newest concrete Docker Hub
tag, probes rocm/python/torch without GPU, installs modelscope from the
build branch, and tags as ubuntu*-rocm*-py*-torch*-{version}.
Co-authored-by: Cursor <cursoragent@cursor.com>
Keep ipywidgets, jupyter_core, nbconvert, and nbclient inside the
INSTALL_MS_DEPS gate so latest and old image builds are unaffected.
Co-authored-by: Cursor <cursoragent@cursor.com>
Install ipywidgets, ipykernel, jupyter_core, nbconvert, and nbclient
outside the INSTALL_MS_DEPS gate so latest GPU images also support
python -m jupyter nbconvert for agent notebook debugging.
Co-authored-by: Cursor <cursoragent@cursor.com>
Align LLM image pip config with GPU images by dropping the persistent
pypi.org extra-index-url that was added for modelscope-hub fallback.
Co-authored-by: Cursor <cursoragent@cursor.com>
* refactor(hub): shim layer delegating to modelscope-hub
- Replace hub/api.py (4674→250 lines) with shim inheriting LegacyHubApi
- Replace hub/snapshot_download.py, callback.py with thin shims
- Partial shim hub/file_download.py (retain http_get_file)
- Shim hub/constants.py and errors.py with legacy aliases
- Shim hub/git.py, repository.py, cache_manager.py, upload_*.py
- Migrate CLI entry to modelscope_hub.cli.main:run_cmd
- Adapt 6 CLI commands as modelscope_hub.cli_plugins
- Delete redundant CLI files (download/upload/login/create/etc)
- Add modelscope-hub>=0.2.0 dependency, Python>=3.10
- Add __getattr__ proxy for forward-compatible method access
- Propagate timeout/max_retries to internal LegacyClient
- Bridge MODELSCOPE_CREDENTIALS_PATH env var to HubConfig
* fix lint: isort/yapf formatting + exclude hub/api.py from hooks
* set modelscope-hub>=0.0.5
* remove unused code
* refactor(hub): standardize token naming — git_token vs token
Disambiguate git token and SDK/API token naming across the hub layer:
- ModelScopeConfig: get_token/save_token → get_git_token/save_git_token
(old names kept as deprecated aliases with DeprecationWarning)
- GitCommandWrapper: rename token params to git_token in clone/push/config
- Repository/DatasetRepository: auth_token → git_token (deprecated compat kept)
- data_loader.py: update caller to use get_git_token()
SDK token references (HubApi(token=...), get_cookies(access_token=...),
commit_scheduler.token) remain unchanged as they correctly use `token` naming.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* remove(msdatasets): remove all Virgo-related implementation
Remove the entire Virgo dataset subsystem which is no longer needed:
- Remove VirgoDataset class and VirgoDownloader
- Remove VirgoAuthConfig and VirgoDatasetConfig
- Remove Hubs.virgo enum value
- Remove fetch_virgo_meta from DataMetaManager
- Remove download_virgo_files from DatasetContextConfig
- Remove test_virgo_dataset.py test file
- Clean up unused imports (pandas, MaxComputeUtil, valid_url, etc.)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat(hub): add OSS dataset operations and meta-file download to HubApi
Add methods that msdatasets depends on but don't belong in modelscope_hub:
- _legacy_request: internal helper combining legacy HTTP transport with
application-level envelope validation (Code/Data/Message)
- list_oss_dataset_objects: list OSS storage objects for a dataset
- delete_oss_dataset_object / delete_oss_dataset_dir: delete OSS objects
- fetch_meta_files_from_url: download and cache meta CSV/JSONL files
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix imports issue
* fix: address PR review feedback
- cli/plugins.py: change --yes and --all flags to action='store_true'
- hub/git.py: replace os.linesep with .splitlines() for cross-platform safety
- hub/__init__.py: use is_file() with fallback for robust credentials path detection
* fix lint
* update ms hub version
* fix(ci): add PyPI official as fallback index for pip
Aliyun mirror may lag behind PyPI for newly published packages,
causing dependency resolution failures (e.g. modelscope-hub>=0.0.6).
Add pypi.org/simple as extra-index-url so new versions are immediately
available while keeping the Aliyun mirror as the primary source.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix UTs
* remove unused UTs
* fix ut
* update modelscope-hub installation for source code
* fix UT
* fix uts
* fix ut
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* 🐛 fix(clearcache): fix single model cache path
- Add 'models' subdirectory under 'hub' for single model cache paths
- Align dataset and model path structures for consistency
* 🐛 fix(clearcache): use cache root helpers to handle MODELSCOPE_CACHE correctly
Unconditionally prepending `hub/` broke `$MODELSCOPE_CACHE`-set users,
since the cache root has no `hub/` segment in that case. Reuse
get_model_cache_root() / get_dataset_cache_root() from file_utils,
which already handle both default and env-set layouts. Add tests
covering both scenarios.
---------
Co-authored-by: Yunnglin <mao.looper@qq.com>
