repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/notification_service.py | utils/notification_service.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/check_dummies.py | utils/check_dummies.py | # coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/split_doctest_jobs.py | utils/split_doctest_jobs.py | # Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/custom_init_isort.py | utils/custom_init_isort.py | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/check_config_attributes.py | utils/check_config_attributes.py | # coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/collated_reports.py | utils/collated_reports.py | # Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/get_modified_files.py | utils/get_modified_files.py | # coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/pr_slow_ci_models.py | utils/pr_slow_ci_models.py | # Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/modular_model_converter.py | utils/modular_model_converter.py | # coding=utf-8
# Copyright 2024 the HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/sort_auto_mappings.py | utils/sort_auto_mappings.py | # coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/get_test_reports.py | utils/get_test_reports.py | # coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/create_dummy_models.py | utils/create_dummy_models.py | # coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/get_ci_error_statistics.py | utils/get_ci_error_statistics.py | import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter
import requests
def get_jobs(workflow_run_id, token=None):
"""Extract jobs in a GitHub Actions workflow run"""
headers = None
if token is not None:
headers = {"Accept": "... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/notification_service_doc_tests.py | utils/notification_service_doc_tests.py | # Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/check_bad_commit.py | utils/check_bad_commit.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/L... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/set_cuda_devices_for_ci.py | utils/set_cuda_devices_for_ci.py | """A simple script to set flexibly CUDA_VISIBLE_DEVICES in GitHub Actions CI workflow files."""
import argparse
import os
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--test_folder",
type=str,
default=None,
help="The test folder name of t... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/check_pipeline_typing.py | utils/check_pipeline_typing.py | import re
from transformers.pipelines import SUPPORTED_TASKS, Pipeline
HEADER = """
# fmt: off
# π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨
# The part of the file below was automatically generated from the code.
# Do... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/patch_helper.py | utils/patch_helper.py | # coding=utf-8
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/update_metadata.py | utils/update_metadata.py | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/check_self_hosted_runner.py | utils/check_self_hosted_runner.py | import argparse
import json
import subprocess
def get_runner_status(target_runners, token):
offline_runners = []
cmd = [
"curl",
"-H",
"Accept: application/vnd.github+json",
"-H",
f"Authorization: Bearer {token}",
"https://api.github.com/repos/huggingface/trans... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/tests_fetcher.py | utils/tests_fetcher.py | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/create_dependency_mapping.py | utils/create_dependency_mapping.py | import ast
import re
from collections import defaultdict
# Function to perform topological sorting
def topological_sort(dependencies: dict) -> list[list[str]]:
"""Given the dependencies graph, construct a sorted list of list of modular files.
Examples:
The returned list of lists might be:
[
... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/check_docstrings.py | utils/check_docstrings.py | # coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/split_model_tests.py | utils/split_model_tests.py | # Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/scan_skipped_tests.py | utils/scan_skipped_tests.py | # coding=utf-8
# Copyright 2025 the HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/check_modeling_structure.py | utils/check_modeling_structure.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/get_test_info.py | utils/get_test_info.py | # coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/get_github_job_time.py | utils/get_github_job_time.py | import argparse
import math
import traceback
import dateutil.parser as date_parser
import requests
def extract_time_from_single_job(job):
"""Extract time info from a single job in a GitHub Actions workflow run"""
job_info = {}
start = job["started_at"]
end = job["completed_at"]
start_datetime ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/check_model_tester.py | utils/check_model_tester.py | # coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/print_env.py | utils/print_env.py | #!/usr/bin/env python3
# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unles... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/release.py | utils/release.py | # coding=utf-8
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/extract_pr_number_from_circleci.py | utils/extract_pr_number_from_circleci.py | # coding=utf-8
# Copyright 2025 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/process_circleci_workflow_test_reports.py | utils/process_circleci_workflow_test_reports.py | # Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/download_glue_data.py | utils/download_glue_data.py | """Script for downloading all GLUE data.
Original source: https://gist.github.com/W4ngatang/60c2bdb54d156a41194446737ce03e2e
Note: for legal reasons, we are unable to host MRPC.
You can either use the version hosted by the SentEval team, which is already tokenized,
or you can download the original data from (https://d... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/compare_test_runs.py | utils/compare_test_runs.py | # Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/test_module/custom_tokenization_fast.py | utils/test_module/custom_tokenization_fast.py | from transformers import BertTokenizerFast
from .custom_tokenization import CustomTokenizer
class CustomTokenizerFast(BertTokenizerFast):
slow_tokenizer_class = CustomTokenizer
_auto_map = {
"AutoTokenizer": ("custom_tokenization.CustomTokenizer", "custom_tokenization_fast.CustomTokenizerFast")
}... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/test_module/custom_image_processing.py | utils/test_module/custom_image_processing.py | from transformers import CLIPImageProcessor
class CustomImageProcessor(CLIPImageProcessor):
pass
| python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/test_module/custom_feature_extraction.py | utils/test_module/custom_feature_extraction.py | from transformers import Wav2Vec2FeatureExtractor
class CustomFeatureExtractor(Wav2Vec2FeatureExtractor):
pass
| python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/test_module/custom_configuration.py | utils/test_module/custom_configuration.py | from transformers import PreTrainedConfig
class CustomConfig(PreTrainedConfig):
model_type = "custom"
def __init__(self, attribute=1, **kwargs):
self.attribute = attribute
super().__init__(**kwargs)
| python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/test_module/custom_modeling.py | utils/test_module/custom_modeling.py | import torch
from transformers import PreTrainedModel
from .custom_configuration import CustomConfig
class CustomModel(PreTrainedModel):
config_class = CustomConfig
def __init__(self, config):
super().__init__(config)
self.linear = torch.nn.Linear(config.hidden_size, config.hidden_size)
... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/test_module/custom_video_processing.py | utils/test_module/custom_video_processing.py | from transformers import LlavaOnevisionVideoProcessor
class CustomVideoProcessor(LlavaOnevisionVideoProcessor):
pass
| python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/test_module/__init__.py | utils/test_module/__init__.py | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false | |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/test_module/custom_pipeline.py | utils/test_module/custom_pipeline.py | import numpy as np
from transformers import Pipeline
def softmax(outputs):
maxes = np.max(outputs, axis=-1, keepdims=True)
shifted_exp = np.exp(outputs - maxes)
return shifted_exp / shifted_exp.sum(axis=-1, keepdims=True)
class PairClassificationPipeline(Pipeline):
def _sanitize_parameters(self, **... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/test_module/custom_tokenization.py | utils/test_module/custom_tokenization.py | from transformers import BertTokenizer
class CustomTokenizer(BertTokenizer):
pass
| python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/utils/test_module/custom_processing.py | utils/test_module/custom_processing.py | from transformers import ProcessorMixin
class CustomProcessor(ProcessorMixin):
def __init__(self, feature_extractor, tokenizer):
super().__init__(feature_extractor, tokenizer)
| python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/docs/source/_config.py | docs/source/_config.py | # docstyle-ignore
INSTALL_CONTENT = """
# Transformers installation
! pip install transformers datasets evaluate accelerate
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
"""
notebook_f... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/docs/source/de/_config.py | docs/source/de/_config.py | # docstyle-ignore
INSTALL_CONTENT = """
# Transformers installation
! pip install transformers datasets evaluate accelerate
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
"""
notebook_f... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/docs/source/en/_config.py | docs/source/en/_config.py | # docstyle-ignore
INSTALL_CONTENT = """
# Transformers installation
! pip install transformers datasets evaluate accelerate
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
"""
notebook_f... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/docs/source/ar/_config.py | docs/source/ar/_config.py | # docstyle-ignore
INSTALL_CONTENT = """
# Transformers installation
! pip install transformers datasets evaluate accelerate
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
"""
notebook_f... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/docs/source/fr/_config.py | docs/source/fr/_config.py | # docstyle-ignore
INSTALL_CONTENT = """
# Installation de Transformers
! pip install transformers datasets evaluate accelerate
# Pour installer à partir du code source au lieu de la dernière version, commentez la commande ci-dessus et décommentez la suivante.
# ! pip install git+https://github.com/huggingface/transform... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/docs/source/pt/_config.py | docs/source/pt/_config.py | # docstyle-ignore
INSTALL_CONTENT = """
# Transformers installation
! pip install transformers datasets evaluate accelerate
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
"""
notebook_f... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/docs/source/it/_config.py | docs/source/it/_config.py | # docstyle-ignore
INSTALL_CONTENT = """
# Installazione di Transformers
! pip install transformers datasets evaluate accelerate
# Per installare dalla fonte invece dell'ultima versione rilasciata, commenta il comando sopra e
# rimuovi la modalitΓ commento al comando seguente.
# ! pip install git+https://github.com/hugg... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/docs/source/ko/_config.py | docs/source/ko/_config.py | # docstyle-ignore
INSTALL_CONTENT = """
# Transformers μ€μΉ λ°©λ²
! pip install transformers datasets evaluate accelerate
# λ§μ§λ§ λ¦΄λ¦¬μ€ λμ μμ€μμ μ€μΉνλ €λ©΄, μ λͺ
λ Ήμ μ£ΌμμΌλ‘ λ°κΎΈκ³ μλ λͺ
λ Ήμ ν΄μ νμΈμ.
# ! pip install git+https://github.com/huggingface/transformers.git
"""
notebook_first_cells = [{"type": "code", "content": INSTALL_CONTENT}]
black_... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/docs/source/es/_config.py | docs/source/es/_config.py | # docstyle-ignore
INSTALL_CONTENT = """
# Transformers installation
! pip install transformers datasets evaluate accelerate
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
"""
notebook_f... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/run_on_remote.py | examples/run_on_remote.py | #!/usr/bin/env python
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/3D_parallel.py | examples/3D_parallel.py | # Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/quantization/custom_quantization_int8_example.py | examples/quantization/custom_quantization_int8_example.py | import json
from typing import Any, Optional
import torch
import torch.nn as nn
import torch.nn.functional as F
from accelerate import init_empty_weights
from huggingface_hub import HfApi
from transformers import AutoModelForCausalLM, AutoTokenizer
from transformers.quantizers import HfQuantizer, get_module_from_name... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/quantization/custom_quantization.py | examples/quantization/custom_quantization.py | import json
from typing import Any
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
from transformers.quantizers import HfQuantizer, register_quantization_config, register_quantizer
from transformers.utils.quantization_config import QuantizationConfigMixin
@register_quantization_config("cus... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modular_dummy_bert.py | examples/modular-transformers/modular_dummy_bert.py | from typing import Optional, Union
import torch
from transformers.models.bert.modeling_bert import BertModel
from ...modeling_outputs import BaseModelOutputWithPoolingAndCrossAttentions
from ...processing_utils import Unpack
from ...utils import TransformersKwargs
class DummyBertModel(BertModel):
def forward(
... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modular_new_model.py | examples/modular-transformers/modular_new_model.py | # Example where we only want to overwrite the defaults of an init
from transformers.models.gemma.configuration_gemma import GemmaConfig
class NewModelConfig(GemmaConfig):
def __init__(
self,
vocab_size=256030,
hidden_size=64,
intermediate_size=90,
num_hidden_layers=28,
... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modeling_dummy_bert.py | examples/modular-transformers/modeling_dummy_bert.py | # π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨
# This file was automatically generated from examples/modular-transformers/modular_dummy_bert.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modeling_new_task_model.py | examples/modular-transformers/modeling_new_task_model.py | # π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨
# This file was automatically generated from examples/modular-transformers/modular_new_task_model.py.
# Do NOT edit this file manually as any edits will be overwritten by the generat... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modular_add_function.py | examples/modular-transformers/modular_add_function.py | # Note that zamba does not have the `apply_rotary_pos_emb` function!
from transformers.models.llama.modeling_llama import apply_rotary_pos_emb
from transformers.models.zamba.modeling_zamba import ZambaAttention
# When following ZambaAttention dependencies, the function `apply_rotary_pos_emb` is not present
# by defau... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modeling_multimodal2.py | examples/modular-transformers/modeling_multimodal2.py | # π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨
# This file was automatically generated from examples/modular-transformers/modular_multimodal2.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modular_roberta.py | examples/modular-transformers/modular_roberta.py | import torch.nn as nn
from transformers.models.bert.modeling_bert import BertEmbeddings, BertModel
class RobertaEmbeddings(BertEmbeddings):
def __init__(self, config):
super().__init__(config)
self.pad_token_id = config.pad_token_id
self.position_embeddings = nn.Embedding(
con... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modeling_roberta.py | examples/modular-transformers/modeling_roberta.py | # π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨
# This file was automatically generated from examples/modular-transformers/modular_roberta.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation of
... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/configuration_new_model.py | examples/modular-transformers/configuration_new_model.py | # π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨
# This file was automatically generated from examples/modular-transformers/modular_new_model.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation o... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modular_global_indexing.py | examples/modular-transformers/modular_global_indexing.py | from transformers.modeling_utils import AttentionInterface
from transformers.models.llama.modeling_llama import LlamaAttention
def custom_flex(x, **kwargs):
"""Dummy function."""
return x
ALL_ATTENTION_FUNCTIONS = AttentionInterface()
# This indexing statement and associated function should be exported corr... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modeling_test_detr.py | examples/modular-transformers/modeling_test_detr.py | # π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨
# This file was automatically generated from examples/modular-transformers/modular_test_detr.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation o... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/configuration_super.py | examples/modular-transformers/configuration_super.py | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false | |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modular_my_new_model2.py | examples/modular-transformers/modular_my_new_model2.py | from transformers.models.gemma.modeling_gemma import GemmaForSequenceClassification
from transformers.models.llama.configuration_llama import LlamaConfig
# Example where we only want to only modify the docstring
class MyNewModel2Config(LlamaConfig):
r"""
This is the configuration class to store the configurat... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/configuration_duplicated_method.py | examples/modular-transformers/configuration_duplicated_method.py | # π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨
# This file was automatically generated from examples/modular-transformers/modular_duplicated_method.py.
# Do NOT edit this file manually as any edits will be overwritten by the gene... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modular_test_suffix.py | examples/modular-transformers/modular_test_suffix.py | import torch.nn as nn
from transformers.models.llama.modeling_llama import LlamaDecoderLayer
class TestSuffixDecoderLayer(nn.module):
pass
# Here, we want to add "Llama" as a suffix to the base `TestModel` name for all required dependencies
class TestSuffixLlamaDecoderLayer(LlamaDecoderLayer):
pass
| python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modular_test_detr.py | examples/modular-transformers/modular_test_detr.py | from transformers.models.deformable_detr.modeling_deformable_detr import DeformableDetrModel
# Here, the old and new model have by essence a common "detr" suffix. Make sure everything is correctly named
# in this case (i.e., we do not wrongly detect `Detr` as part of a suffix to remove)
class TestDetrModel(Deformable... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modular_new_task_model.py | examples/modular-transformers/modular_new_task_model.py | from typing import ClassVar, Optional
import torch
import torch.utils.checkpoint
from torch import nn
from transformers.models.paligemma.modeling_paligemma import PaliGemmaForConditionalGeneration
from ...cache_utils import Cache
class NewTaskModelForNewTask(PaliGemmaForConditionalGeneration):
main_input_name:... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modular_my_new_model.py | examples/modular-transformers/modular_my_new_model.py | from transformers.models.llama.configuration_llama import LlamaConfig
# Example where we only want to only add a new config argument and new arg doc
class MyNewModelConfig(LlamaConfig):
r"""
This is the configuration class to store the configuration of a [`MyNewModelModel`]. It is used to instantiate an MyNew... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/configuration_my_new_model2.py | examples/modular-transformers/configuration_my_new_model2.py | # π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨
# This file was automatically generated from examples/modular-transformers/modular_my_new_model2.py.
# Do NOT edit this file manually as any edits will be overwritten by the generati... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/configuration_my_new_model.py | examples/modular-transformers/configuration_my_new_model.py | # π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨
# This file was automatically generated from examples/modular-transformers/modular_my_new_model.py.
# Do NOT edit this file manually as any edits will be overwritten by the generatio... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modular_super.py | examples/modular-transformers/modular_super.py | from typing import Optional, Union
import torch
from transformers.modeling_outputs import CausalLMOutputWithPast
from transformers.models.llama.modeling_llama import LlamaModel
from ...cache_utils import Cache
# example where we need some deps and some functions
class SuperModel(LlamaModel):
def forward(
... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modeling_my_new_model2.py | examples/modular-transformers/modeling_my_new_model2.py | # π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨
# This file was automatically generated from examples/modular-transformers/modular_my_new_model2.py.
# Do NOT edit this file manually as any edits will be overwritten by the generati... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modeling_global_indexing.py | examples/modular-transformers/modeling_global_indexing.py | # π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨
# This file was automatically generated from examples/modular-transformers/modular_global_indexing.py.
# Do NOT edit this file manually as any edits will be overwritten by the genera... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modeling_switch_function.py | examples/modular-transformers/modeling_switch_function.py | # π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨
# This file was automatically generated from examples/modular-transformers/modular_switch_function.py.
# Do NOT edit this file manually as any edits will be overwritten by the genera... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modeling_test_suffix.py | examples/modular-transformers/modeling_test_suffix.py | # π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨
# This file was automatically generated from examples/modular-transformers/modular_test_suffix.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modular_new_imgproc_model.py | examples/modular-transformers/modular_new_imgproc_model.py | import torch
import torch.utils.checkpoint
from transformers.models.blip.image_processing_blip import BlipImageProcessor
class ImgprocModelImageProcessor(BlipImageProcessor):
def new_image_processing_method(self, pixel_values: torch.FloatTensor):
return pixel_values / 2
| python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modeling_from_uppercase_model.py | examples/modular-transformers/modeling_from_uppercase_model.py | # π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨
# This file was automatically generated from examples/modular-transformers/modular_from_uppercase_model.py.
# Do NOT edit this file manually as any edits will be overwritten by the g... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modular_multimodal2.py | examples/modular-transformers/modular_multimodal2.py | """
Here, because clip is not consistent with the use of the "Text" and "Vision" prefixes, we cannot simply use
```
class Multimodal2VisionModel(CLIPVisionModel):
pass
```
with the hope that all dependencies will be renamed as `Multimodal2VisionClass`. For this reason, if we want consistency and
use the "Vision" pa... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/image_processing_new_imgproc_model.py | examples/modular-transformers/image_processing_new_imgproc_model.py | # π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨
# This file was automatically generated from examples/modular-transformers/modular_new_imgproc_model.py.
# Do NOT edit this file manually as any edits will be overwritten by the gene... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modular_from_uppercase_model.py | examples/modular-transformers/modular_from_uppercase_model.py | from transformers.models.clip.modeling_clip import CLIPEncoderLayer
# Check if we can correctly grab dependencies with correct naming from all UPPERCASE old model
class FromUppercaseModelEncoderLayer(CLIPEncoderLayer):
pass
| python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/configuration_dummy.py | examples/modular-transformers/configuration_dummy.py | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false | |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modeling_super.py | examples/modular-transformers/modeling_super.py | # π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨
# This file was automatically generated from examples/modular-transformers/modular_super.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation of
# ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modeling_add_function.py | examples/modular-transformers/modeling_add_function.py | # π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨
# This file was automatically generated from examples/modular-transformers/modular_add_function.py.
# Do NOT edit this file manually as any edits will be overwritten by the generatio... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modular_switch_function.py | examples/modular-transformers/modular_switch_function.py | # Note that llama and cohere have different definitions for rotate_half
from transformers.models.cohere.modeling_cohere import rotate_half # noqa
from transformers.models.llama.modeling_llama import LlamaAttention
# When following LlamaAttention dependencies, we will grab the function `rotate_half` defined
# in `mod... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/modular-transformers/modular_duplicated_method.py | examples/modular-transformers/modular_duplicated_method.py | from transformers.models.llama.configuration_llama import LlamaConfig
class DuplicatedMethodConfig(LlamaConfig):
@property
def vocab_size(self):
return 45
@vocab_size.setter
def vocab_size(self, value):
self.vocab_size = value
| python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/metrics-monitoring/metrics_example.py | examples/metrics-monitoring/metrics_example.py | # Example usage of the trace and attach_tracer decorators
from transformers.utils.metrics import attach_tracer, traced
@attach_tracer()
class ExampleClass:
def __init__(self, name):
# The attach_tracer decorator has already created self.tracer for us
self.name = name
@traced # This method w... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/training/distributed_training.py | examples/training/distributed_training.py | import argparse
import os
import torch
import torch.distributed as dist
# Environment variables set by torch.distributed.launch
LOCAL_RANK = int(os.environ["LOCAL_RANK"])
WORLD_SIZE = int(os.environ["WORLD_SIZE"])
WORLD_RANK = int(os.environ["RANK"])
LOCAL_RANK = int(os.environ["OMPI_COMM_WORLD_LOCAL_RANK"])
WORLD_... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/pytorch/old_test_xla_examples.py | examples/pytorch/old_test_xla_examples.py | # Copyright 2018 HuggingFace Inc..
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/pytorch/3d_parallel_checks.py | examples/pytorch/3d_parallel_checks.py | # Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/pytorch/continuous_batching_simple.py | examples/pytorch/continuous_batching_simple.py | # coding=utf-8
# Copyright 2025 The HuggingFace Inc. team
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/pytorch/test_pytorch_examples.py | examples/pytorch/test_pytorch_examples.py | # Copyright 2018 HuggingFace Inc..
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/examples/pytorch/context_parallel.py | examples/pytorch/context_parallel.py | # Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
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