Instructions to use jonl521/modeling_simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonl521/modeling_simple with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jonl521/modeling_simple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .venv/lib/python3.14/site-packages/torch/_logging/scribe.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 2.58 kB
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/torch/_logging/scribe.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/torch/_logging/scribe.py
-
curl -L -o scribe.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/torch/_logging/scribe.py
2.58 kB
| from typing import Callable, Union | |
| from typing_extensions import TypeAlias | |
| try: | |
| from fbscribelogger import ( # type: ignore[import-untyped, import-not-found] | |
| make_scribe_logger, | |
| ) | |
| except ImportError: | |
| TAtom: TypeAlias = Union[int, float, bool, str] | |
| TField: TypeAlias = Union[TAtom, list[TAtom]] | |
| TLazyField: TypeAlias = Union[TField, Callable[[], TField]] | |
| def make_scribe_logger(name: str, thrift_src: str) -> Callable[..., None]: | |
| def inner(**kwargs: TLazyField) -> None: | |
| pass | |
| return inner | |
| open_source_signpost = make_scribe_logger( | |
| "TorchOpenSourceSignpost", | |
| """ | |
| struct TorchOpenSourceSignpostLogEntry { | |
| # The commit SHA that triggered the workflow, e.g., 02a6b1d30f338206a71d0b75bfa09d85fac0028a. Derived from GITHUB_SHA. | |
| 4: optional string commit_sha; | |
| # Commit date (not author date) of the commit in commit_sha as timestamp, e.g., 1724208105. Increasing if merge bot is used, though not monotonic; duplicates occur when stack is landed. | |
| 5: optional i64 commit_date; | |
| # The fully-formed ref of the branch or tag that triggered the workflow run, e.g., refs/pull/133891/merge or refs/heads/main. Derived from GITHUB_REF. | |
| 6: optional string github_ref; | |
| # Indicates if branch protections or rulesets are configured for the ref that triggered the workflow run. Derived from GITHUB_REF_PROTECTED. | |
| 7: optional bool github_ref_protected; | |
| # A unique number for each attempt of a particular workflow run in a repository, e.g., 1. Derived from GITHUB_RUN_ATTEMPT. | |
| 8: optional string github_run_attempt; | |
| # A unique number for each workflow run within a repository, e.g., 19471190684. Derived from GITHUB_RUN_ID. | |
| 9: optional string github_run_id; | |
| # A unique number for each run of a particular workflow in a repository, e.g., 238742. Derived from GITHUB_RUN_NUMBER. | |
| 10: optional string github_run_number_str; | |
| # The name of the current job. Derived from JOB_NAME, e.g., linux-jammy-py3.8-gcc11 / test (default, 3, 4, linux.2xlarge). | |
| 11: optional string job_name; | |
| # The GitHub user who triggered the job. Derived from GITHUB_TRIGGERING_ACTOR. | |
| 12: optional string github_triggering_actor; | |
| 13: optional string name; # Event name | |
| 14: optional string parameters; # Parameters (JSON data) | |
| 16: optional string subsystem; # Subsystem the event is associated with | |
| # The unit timestamp in second for the Scuba Time Column override | |
| 17: optional i64 time; | |
| # The weight of the record according to current sampling rate | |
| 18: optional i64 weight; | |
| } | |
| """, # noqa: B950 | |
| ) | |