text stringlengths 5 631k | id stringlengths 14 178 | metadata dict | __index_level_0__ int64 0 647 |
|---|---|---|---|
# 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... | diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion.py",
"repo_id": "diffusers",
"token_count": 10676
} | 163 |
# 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... | diffusers/src/diffusers/pipelines/stable_diffusion/safety_checker_flax.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/safety_checker_flax.py",
"repo_id": "diffusers",
"token_count": 1822
} | 164 |
# 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... | diffusers/src/diffusers/pipelines/stable_diffusion_k_diffusion/pipeline_stable_diffusion_xl_k_diffusion.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_k_diffusion/pipeline_stable_diffusion_xl_k_diffusion.py",
"repo_id": "diffusers",
"token_count": 20304
} | 165 |
# Copyright 2025 Kakao Brain and 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 requi... | diffusers/src/diffusers/pipelines/unclip/pipeline_unclip.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/unclip/pipeline_unclip.py",
"repo_id": "diffusers",
"token_count": 10083
} | 166 |
# Copyright 2025 The Wan Team and 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 requ... | diffusers/src/diffusers/pipelines/wan/pipeline_wan_video2video.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/wan/pipeline_wan_video2video.py",
"repo_id": "diffusers",
"token_count": 14672
} | 167 |
from .gguf_quantizer import GGUFQuantizer
| diffusers/src/diffusers/quantizers/gguf/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/quantizers/gguf/__init__.py",
"repo_id": "diffusers",
"token_count": 13
} | 168 |
import math
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from ..utils.torch_utils import randn_tensor
from .scheduling_utils import SchedulerMixin
# Copied from diffusers.sche... | diffusers/src/diffusers/schedulers/scheduling_consistency_decoder.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_consistency_decoder.py",
"repo_id": "diffusers",
"token_count": 3023
} | 169 |
import contextlib
import copy
import gc
import math
import random
import re
import warnings
from contextlib import contextmanager
from typing import Any, Dict, Iterable, List, Optional, Tuple, Union
import numpy as np
import torch
from .models import UNet2DConditionModel
from .pipelines import DiffusionPipeline
from ... | diffusers/src/diffusers/training_utils.py/0 | {
"file_path": "diffusers/src/diffusers/training_utils.py",
"repo_id": "diffusers",
"token_count": 12459
} | 170 |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class CosineDPMSolverMultistepScheduler(metaclass=DummyObject):
_backends = ["torch", "torchsde"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch", "torc... | diffusers/src/diffusers/utils/dummy_torch_and_torchsde_objects.py/0 | {
"file_path": "diffusers/src/diffusers/utils/dummy_torch_and_torchsde_objects.py",
"repo_id": "diffusers",
"token_count": 416
} | 171 |
# 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... | diffusers/src/diffusers/utils/peft_utils.py/0 | {
"file_path": "diffusers/src/diffusers/utils/peft_utils.py",
"repo_id": "diffusers",
"token_count": 6167
} | 172 |
# Copyright 2025 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 writ... | diffusers/tests/hooks/test_hooks.py/0 | {
"file_path": "diffusers/tests/hooks/test_hooks.py",
"repo_id": "diffusers",
"token_count": 6091
} | 173 |
# coding=utf-8
# Copyright 2025 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 ag... | diffusers/tests/lora/utils.py/0 | {
"file_path": "diffusers/tests/lora/utils.py",
"repo_id": "diffusers",
"token_count": 59521
} | 174 |
# coding=utf-8
# Copyright 2025 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 ag... | diffusers/tests/models/autoencoders/test_models_consistency_decoder_vae.py/0 | {
"file_path": "diffusers/tests/models/autoencoders/test_models_consistency_decoder_vae.py",
"repo_id": "diffusers",
"token_count": 5115
} | 175 |
# coding=utf-8
# Copyright 2025 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 ag... | diffusers/tests/models/transformers/test_models_transformer_bria.py/0 | {
"file_path": "diffusers/tests/models/transformers/test_models_transformer_bria.py",
"repo_id": "diffusers",
"token_count": 2836
} | 176 |
# coding=utf-8
# Copyright 2025 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 ag... | diffusers/tests/models/transformers/test_models_transformer_lumina2.py/0 | {
"file_path": "diffusers/tests/models/transformers/test_models_transformer_lumina2.py",
"repo_id": "diffusers",
"token_count": 1221
} | 177 |
# coding=utf-8
# Copyright 2025 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 ag... | diffusers/tests/models/unets/test_models_unet_motion.py/0 | {
"file_path": "diffusers/tests/models/unets/test_models_unet_motion.py",
"repo_id": "diffusers",
"token_count": 5224
} | 178 |
import pickle as pkl
import unittest
from dataclasses import dataclass
from typing import List, Union
import numpy as np
import PIL.Image
from diffusers.utils.outputs import BaseOutput
from diffusers.utils.testing_utils import require_torch
@dataclass
class CustomOutput(BaseOutput):
images: Union[List[PIL.Image... | diffusers/tests/others/test_outputs.py/0 | {
"file_path": "diffusers/tests/others/test_outputs.py",
"repo_id": "diffusers",
"token_count": 1506
} | 179 |
# coding=utf-8
# Copyright 2025 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 ag... | diffusers/tests/pipelines/deepfloyd_if/test_if.py/0 | {
"file_path": "diffusers/tests/pipelines/deepfloyd_if/test_if.py",
"repo_id": "diffusers",
"token_count": 2051
} | 180 |
import random
import unittest
import numpy as np
import torch
from transformers import AutoTokenizer, CLIPTextConfig, CLIPTextModel, CLIPTokenizer, T5EncoderModel
from diffusers import AutoencoderKL, FlowMatchEulerDiscreteScheduler, FluxImg2ImgPipeline, FluxTransformer2DModel
from diffusers.utils.testing_utils import... | diffusers/tests/pipelines/flux/test_pipeline_flux_img2img.py/0 | {
"file_path": "diffusers/tests/pipelines/flux/test_pipeline_flux_img2img.py",
"repo_id": "diffusers",
"token_count": 2384
} | 181 |
# Copyright 2025 The HuggingFace 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 law or agreed to in... | diffusers/tests/pipelines/ltx/test_ltx.py/0 | {
"file_path": "diffusers/tests/pipelines/ltx/test_ltx.py",
"repo_id": "diffusers",
"token_count": 4626
} | 182 |
# coding=utf-8
# Copyright 2025 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 ag... | diffusers/tests/pipelines/stable_cascade/test_stable_cascade_decoder.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_cascade/test_stable_cascade_decoder.py",
"repo_id": "diffusers",
"token_count": 5095
} | 183 |
# coding=utf-8
# Copyright 2025 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 ag... | diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion_inpaint.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion_inpaint.py",
"repo_id": "diffusers",
"token_count": 5086
} | 184 |
# coding=utf-8
# Copyright 2025 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 ag... | diffusers/tests/pipelines/stable_diffusion_xl/test_stable_diffusion_xl_inpaint.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_xl/test_stable_diffusion_xl_inpaint.py",
"repo_id": "diffusers",
"token_count": 15871
} | 185 |
import gc
import tempfile
import unittest
from diffusers import FluxPipeline, FluxTransformer2DModel, QuantoConfig
from diffusers.models.attention_processor import Attention
from diffusers.utils import is_optimum_quanto_available, is_torch_available
from diffusers.utils.testing_utils import (
backend_empty_cache,
... | diffusers/tests/quantization/quanto/test_quanto.py/0 | {
"file_path": "diffusers/tests/quantization/quanto/test_quanto.py",
"repo_id": "diffusers",
"token_count": 5633
} | 186 |
# coding=utf-8
# Copyright 2025 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 ag... | diffusers/tests/single_file/test_model_sd_cascade_unet_single_file.py/0 | {
"file_path": "diffusers/tests/single_file/test_model_sd_cascade_unet_single_file.py",
"repo_id": "diffusers",
"token_count": 1959
} | 187 |
import gc
import unittest
import torch
from diffusers import (
StableDiffusionXLPipeline,
)
from diffusers.utils.testing_utils import (
backend_empty_cache,
enable_full_determinism,
require_torch_accelerator,
slow,
torch_device,
)
from .single_file_testing_utils import SDXLSingleFileTesterMix... | diffusers/tests/single_file/test_stable_diffusion_xl_single_file.py/0 | {
"file_path": "diffusers/tests/single_file/test_stable_diffusion_xl_single_file.py",
"repo_id": "diffusers",
"token_count": 738
} | 188 |
# coding=utf-8
# 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 requir... | diffusers/utils/notify_benchmarking_status.py/0 | {
"file_path": "diffusers/utils/notify_benchmarking_status.py",
"repo_id": "diffusers",
"token_count": 699
} | 189 |
# 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 required by appl... | lerobot/.pre-commit-config.yaml/0 | {
"file_path": "lerobot/.pre-commit-config.yaml",
"repo_id": "lerobot",
"token_count": 1232
} | 190 |
# Backward compatibility
## Hardware API redesign
PR [#777](https://github.com/huggingface/lerobot/pull/777) improves the LeRobot calibration but is **not backward-compatible**. Below is a overview of what changed and how you can continue to work with datasets created before this pull request.
### What changed?
| ... | lerobot/docs/source/backwardcomp.mdx/0 | {
"file_path": "lerobot/docs/source/backwardcomp.mdx",
"repo_id": "lerobot",
"token_count": 1357
} | 191 |
## Paper
https://arxiv.org/abs/2506.01844
## Citation
```bibtex
@article{shukor2025smolvla,
title={SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics},
author={Shukor, Mustafa and Aubakirova, Dana and Capuano, Francesco and Kooijmans, Pepijn and Palma, Steven and Zouitine, Adil and Ara... | lerobot/docs/source/policy_smolvla_README.md/0 | {
"file_path": "lerobot/docs/source/policy_smolvla_README.md",
"repo_id": "lerobot",
"token_count": 190
} | 192 |
# 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 required by appl... | lerobot/src/lerobot/calibrate.py/0 | {
"file_path": "lerobot/src/lerobot/calibrate.py",
"repo_id": "lerobot",
"token_count": 849
} | 193 |
# 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 required by appl... | lerobot/src/lerobot/configs/types.py/0 | {
"file_path": "lerobot/src/lerobot/configs/types.py",
"repo_id": "lerobot",
"token_count": 393
} | 194 |
#!/usr/bin/env python
# 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
#
# ... | lerobot/src/lerobot/datasets/v21/batch_convert_dataset_v20_to_v21.py/0 | {
"file_path": "lerobot/src/lerobot/datasets/v21/batch_convert_dataset_v20_to_v21.py",
"repo_id": "lerobot",
"token_count": 693
} | 195 |
# 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 required by appl... | lerobot/src/lerobot/motors/dynamixel/tables.py/0 | {
"file_path": "lerobot/src/lerobot/motors/dynamixel/tables.py",
"repo_id": "lerobot",
"token_count": 2837
} | 196 |
#!/usr/bin/env python
# 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
#
# ... | lerobot/src/lerobot/policies/factory.py/0 | {
"file_path": "lerobot/src/lerobot/policies/factory.py",
"repo_id": "lerobot",
"token_count": 2795
} | 197 |
# !/usr/bin/env python
# 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
#
#... | lerobot/src/lerobot/policies/sac/reward_model/modeling_classifier.py/0 | {
"file_path": "lerobot/src/lerobot/policies/sac/reward_model/modeling_classifier.py",
"repo_id": "lerobot",
"token_count": 5078
} | 198 |
#!/usr/bin/env python
# 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
#
# ... | lerobot/src/lerobot/processor/observation_processor.py/0 | {
"file_path": "lerobot/src/lerobot/processor/observation_processor.py",
"repo_id": "lerobot",
"token_count": 2558
} | 199 |
#!/usr/bin/env python
# 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
#
# ... | lerobot/src/lerobot/scripts/rl/crop_dataset_roi.py/0 | {
"file_path": "lerobot/src/lerobot/scripts/rl/crop_dataset_roi.py",
"repo_id": "lerobot",
"token_count": 4715
} | 200 |
#!/usr/bin/env python
# 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
#
# ... | lerobot/src/lerobot/teleoperators/keyboard/teleop_keyboard.py/0 | {
"file_path": "lerobot/src/lerobot/teleoperators/keyboard/teleop_keyboard.py",
"repo_id": "lerobot",
"token_count": 3386
} | 201 |
#!/usr/bin/env python
# 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
#
# ... | lerobot/src/lerobot/utils/logging_utils.py/0 | {
"file_path": "lerobot/src/lerobot/utils/logging_utils.py",
"repo_id": "lerobot",
"token_count": 2247
} | 202 |
#!/usr/bin/env python
# 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
#
# ... | lerobot/tests/cameras/test_realsense.py/0 | {
"file_path": "lerobot/tests/cameras/test_realsense.py",
"repo_id": "lerobot",
"token_count": 2353
} | 203 |
# 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 required by appl... | lerobot/tests/fixtures/files.py/0 | {
"file_path": "lerobot/tests/fixtures/files.py",
"repo_id": "lerobot",
"token_count": 2174
} | 204 |
#!/usr/bin/env python
# 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
#
# ... | lerobot/tests/policies/test_sac_config.py/0 | {
"file_path": "lerobot/tests/policies/test_sac_config.py",
"repo_id": "lerobot",
"token_count": 2753
} | 205 |
# 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 required by appl... | lerobot/tests/utils/test_io_utils.py/0 | {
"file_path": "lerobot/tests/utils/test_io_utils.py",
"repo_id": "lerobot",
"token_count": 1063
} | 206 |
# coding=utf-8
# 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 requir... | open-r1/scripts/morph_router.py/0 | {
"file_path": "open-r1/scripts/morph_router.py",
"repo_id": "open-r1",
"token_count": 2781
} | 207 |
#!/bin/bash
# this simple script will launch a bunch of piston workers on the HF science cluster
N_INSTANCES=${1:-5} # Default to 5 instances
for i in $(seq 1 $N_INSTANCES); do
# Find random (hopefully) available port
PORT=$(comm -23 <(seq 2000 10000 | sort) <(ss -tan | awk '{print $4}' | cut -d':' -f2 | so... | open-r1/slurm/piston/launch_piston_workers.sh/0 | {
"file_path": "open-r1/slurm/piston/launch_piston_workers.sh",
"repo_id": "open-r1",
"token_count": 237
} | 208 |
import re
def fix_python3_imports(source_code):
"""
Fix common import and function changes between Python 3 versions
Args:
source_code (str): The Python source code to update
Returns:
str: The updated source code
"""
# Dictionary of patterns to replacements
replacements =... | open-r1/src/open_r1/utils/competitive_programming/code_patcher.py/0 | {
"file_path": "open-r1/src/open_r1/utils/competitive_programming/code_patcher.py",
"repo_id": "open-r1",
"token_count": 1876
} | 209 |
# 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... | open-r1/tests/test_rewards.py/0 | {
"file_path": "open-r1/tests/test_rewards.py",
"repo_id": "open-r1",
"token_count": 10656
} | 210 |
<!--Copyright 2023 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 applicable law or agreed... | peft/docs/source/package_reference/tuners.md/0 | {
"file_path": "peft/docs/source/package_reference/tuners.md",
"repo_id": "peft",
"token_count": 330
} | 211 |
IDX=$1
PROMPT_IDX=$((IDX % 25))
CLASS_IDX=$((IDX % 30))
# Define the UNIQUE_TOKEN, CLASS_TOKENs, and SUBJECT_NAMES
UNIQUE_TOKEN="qwe"
SUBJECT_NAMES=(
"backpack" "backpack_dog" "bear_plushie" "berry_bowl" "can"
"candle" "cat" "cat2" "clock" "colorful_sneaker"
"dog" "dog2" "dog3" "dog5" "dog6"
"dog7" "d... | peft/examples/boft_dreambooth/train_dreambooth.sh/0 | {
"file_path": "peft/examples/boft_dreambooth/train_dreambooth.sh",
"repo_id": "peft",
"token_count": 3412
} | 212 |
<jupyter_start><jupyter_text>Fine-tuning [Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on [timdettmers/openassistant-guanaco](https://huggingface.co/datasets/timdettmers/openassistant-guanaco) Dataset using QDora (quantized Lora w/ use_dora=True) on T4 Free Colab GPU.<jupyter_code># Install the librar... | peft/examples/dora_finetuning/QDoRA_finetuning.ipynb/0 | {
"file_path": "peft/examples/dora_finetuning/QDoRA_finetuning.ipynb",
"repo_id": "peft",
"token_count": 2118
} | 213 |
<jupyter_start><jupyter_code>import os
os.environ["CUDA_VISIBLE_DEVICES"] = "1" # force using CUDA device 1
os.environ["ZE_AFFINITY_MASK"] = "1" # force using Intel XPU device 1
from peft import PeftConfig, PeftModel
from peft import PeftModel, PeftConfig
from transformers import AutoModelForCausalLM, AutoTokenizer,... | peft/examples/multi_adapter_examples/Lora_Merging.ipynb/0 | {
"file_path": "peft/examples/multi_adapter_examples/Lora_Merging.ipynb",
"repo_id": "peft",
"token_count": 1401
} | 214 |
<jupyter_start><jupyter_text>Fine-tuning [Llama3-8b](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on [timdettmers/openassistant-guanaco](https://huggingface.co/datasets/timdettmers/openassistant-guanaco) Dataset using QRandLora (quantized RandLora) on T4 Free Colab GPU.<jupyter_code># Install the libraries
!pip i... | peft/examples/randlora_finetuning/qrandlora_finetuning.ipynb/0 | {
"file_path": "peft/examples/randlora_finetuning/qrandlora_finetuning.ipynb",
"repo_id": "peft",
"token_count": 1979
} | 215 |
import argparse
import evaluate
import torch
from accelerate import Accelerator, DistributedDataParallelKwargs
from datasets import load_dataset
from torch.optim import AdamW
from torch.utils.data import DataLoader
from tqdm import tqdm
from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_li... | peft/examples/sequence_classification/peft_no_lora_accelerate.py/0 | {
"file_path": "peft/examples/sequence_classification/peft_no_lora_accelerate.py",
"repo_id": "peft",
"token_count": 3361
} | 216 |
# PEFT method comparison on the MetaMathQA and GSM8K datasets
## Goal
This goal is to provide a benchmarking framework for the different PEFT methods that are implemented. It is important that evaluating different PEFT methods is reproducible, idempotent, and version-controlled. Results for more PEFT methods can be a... | peft/method_comparison/MetaMathQA/README.md/0 | {
"file_path": "peft/method_comparison/MetaMathQA/README.md",
"repo_id": "peft",
"token_count": 4024
} | 217 |
# Copyright 2025-present 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 law or... | peft/method_comparison/app.py/0 | {
"file_path": "peft/method_comparison/app.py",
"repo_id": "peft",
"token_count": 6716
} | 218 |
[tool.black]
# Only used by `hf-doc-builder´.
line-length = 119
target-version = ['py38']
[tool.ruff]
target-version = "py39"
line-length = 119
extend-exclude = ["*.ipynb"]
[tool.ruff.lint]
preview = true
explicit-preview-rules = true
extend-select = [
"C", # Complexity
"E", # PEP8 errors
"F", # PEP8 form... | peft/pyproject.toml/0 | {
"file_path": "peft/pyproject.toml",
"repo_id": "peft",
"token_count": 498
} | 219 |
# Copyright 2023-present 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 law or... | peft/src/peft/mixed_model.py/0 | {
"file_path": "peft/src/peft/mixed_model.py",
"repo_id": "peft",
"token_count": 8247
} | 220 |
# Copyright 2023-present 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 law or... | peft/src/peft/tuners/adaption_prompt/layer.py/0 | {
"file_path": "peft/src/peft/tuners/adaption_prompt/layer.py",
"repo_id": "peft",
"token_count": 4483
} | 221 |
# Copyright 2025-present 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 law or... | peft/src/peft/tuners/c3a/layer.py/0 | {
"file_path": "peft/src/peft/tuners/c3a/layer.py",
"repo_id": "peft",
"token_count": 3835
} | 222 |
# Copyright 2023-present 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 law or... | peft/src/peft/tuners/ia3/config.py/0 | {
"file_path": "peft/src/peft/tuners/ia3/config.py",
"repo_id": "peft",
"token_count": 2119
} | 223 |
# Copyright 2024-present 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 law or... | peft/src/peft/tuners/lora/aqlm.py/0 | {
"file_path": "peft/src/peft/tuners/lora/aqlm.py",
"repo_id": "peft",
"token_count": 1647
} | 224 |
# Copyright 2023-present 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 law or... | peft/src/peft/tuners/lycoris_utils.py/0 | {
"file_path": "peft/src/peft/tuners/lycoris_utils.py",
"repo_id": "peft",
"token_count": 7468
} | 225 |
# Copyright 2023-present 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 law or... | peft/src/peft/tuners/oft/gptq.py/0 | {
"file_path": "peft/src/peft/tuners/oft/gptq.py",
"repo_id": "peft",
"token_count": 1704
} | 226 |
# Copyright 2025-present 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 law or... | peft/src/peft/tuners/shira/mask_functions.py/0 | {
"file_path": "peft/src/peft/tuners/shira/mask_functions.py",
"repo_id": "peft",
"token_count": 970
} | 227 |
# Note: These tests were copied from test_common_gpu.py and test_gpu_examples.py as they can run on CPU too.
#
# Copyright 2025-present 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 cop... | peft/tests/test_gptqmodel.py/0 | {
"file_path": "peft/tests/test_gptqmodel.py",
"repo_id": "peft",
"token_count": 10299
} | 228 |
#!/usr/bin/env python3
# coding=utf-8
# Copyright 2023-present 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
#... | peft/tests/test_poly.py/0 | {
"file_path": "peft/tests/test_poly.py",
"repo_id": "peft",
"token_count": 1541
} | 229 |
#!/usr/bin/env python3
""" Checkpoint Cleaning Script
Takes training checkpoints with GPU tensors, optimizer state, extra dict keys, etc.
and outputs a CPU tensor checkpoint with only the `state_dict` along with SHA256
calculation for model zoo compatibility.
Hacked together by / Copyright 2020 Ross Wightman (https:... | pytorch-image-models/clean_checkpoint.py/0 | {
"file_path": "pytorch-image-models/clean_checkpoint.py",
"repo_id": "pytorch-image-models",
"token_count": 1771
} | 230 |
# CSP-ResNet
**CSPResNet** is a convolutional neural network where we apply the Cross Stage Partial Network (CSPNet) approach to [ResNet](https://paperswithcode.com/method/resnet). The CSPNet partitions the feature map of the base layer into two parts and then merges them through a cross-stage hierarchy. The use of a ... | pytorch-image-models/hfdocs/source/models/csp-resnet.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/csp-resnet.mdx",
"repo_id": "pytorch-image-models",
"token_count": 1709
} | 231 |
# RegNetX
**RegNetX** is a convolutional network design space with simple, regular models with parameters: depth \\( d \\), initial width \\( w_{0} > 0 \\), and slope \\( w_{a} > 0 \\), and generates a different block width \\( u_{j} \\) for each block \\( j < d \\). The key restriction for the RegNet types of model i... | pytorch-image-models/hfdocs/source/models/regnetx.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/regnetx.mdx",
"repo_id": "pytorch-image-models",
"token_count": 6566
} | 232 |
# Results
CSV files containing an ImageNet-1K and out-of-distribution (OOD) test set validation results for all models with pretrained weights is located in the repository [results folder](https://github.com/rwightman/pytorch-image-models/tree/master/results).
## Self-trained Weights
The table below includes ImageNe... | pytorch-image-models/hfdocs/source/results.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/results.mdx",
"repo_id": "pytorch-image-models",
"token_count": 2259
} | 233 |
import logging
from .constants import *
_logger = logging.getLogger(__name__)
def resolve_data_config(
args=None,
pretrained_cfg=None,
model=None,
use_test_size=False,
verbose=False
):
assert model or args or pretrained_cfg, "At least one of model, args, or pretrained_cfg... | pytorch-image-models/timm/data/config.py/0 | {
"file_path": "pytorch-image-models/timm/data/config.py",
"repo_id": "pytorch-image-models",
"token_count": 1927
} | 234 |
import os
import pickle
def load_class_map(map_or_filename, root=''):
if isinstance(map_or_filename, dict):
assert dict, 'class_map dict must be non-empty'
return map_or_filename
class_map_path = map_or_filename
if not os.path.exists(class_map_path):
class_map_path = os.path.join(r... | pytorch-image-models/timm/data/readers/class_map.py/0 | {
"file_path": "pytorch-image-models/timm/data/readers/class_map.py",
"repo_id": "pytorch-image-models",
"token_count": 387
} | 235 |
from ._fx import (
create_feature_extractor,
get_graph_node_names,
register_notrace_function,
register_notrace_module,
is_notrace_module,
is_notrace_function,
get_notrace_modules,
get_notrace_functions,
)
from .activations import *
from .adaptive_avgmax_pool import (
adaptive_avgmax_... | pytorch-image-models/timm/layers/__init__.py/0 | {
"file_path": "pytorch-image-models/timm/layers/__init__.py",
"repo_id": "pytorch-image-models",
"token_count": 2075
} | 236 |
""" Conv2d + BN + Act
Hacked together by / Copyright 2020 Ross Wightman
"""
from typing import Any, Dict, Optional, Type
from torch import nn as nn
from .typing import LayerType, PadType
from .blur_pool import create_aa
from .create_conv2d import create_conv2d
from .create_norm_act import get_norm_act_layer
class ... | pytorch-image-models/timm/layers/conv_bn_act.py/0 | {
"file_path": "pytorch-image-models/timm/layers/conv_bn_act.py",
"repo_id": "pytorch-image-models",
"token_count": 1446
} | 237 |
""" Halo Self Attention
Paper: `Scaling Local Self-Attention for Parameter Efficient Visual Backbones`
- https://arxiv.org/abs/2103.12731
@misc{2103.12731,
Author = {Ashish Vaswani and Prajit Ramachandran and Aravind Srinivas and Niki Parmar and Blake Hechtman and
Jonathon Shlens},
Title = {Scaling Local Self... | pytorch-image-models/timm/layers/halo_attn.py/0 | {
"file_path": "pytorch-image-models/timm/layers/halo_attn.py",
"repo_id": "pytorch-image-models",
"token_count": 4601
} | 238 |
from typing import Optional, Tuple, Union
import torch
import torch.nn as nn
def patch_dropout_forward(
x: torch.Tensor,
prob: float,
num_prefix_tokens: int,
ordered: bool,
training: bool,
) -> Tuple[torch.Tensor, Optional[torch.Tensor]]:
"""
Common forward logic for p... | pytorch-image-models/timm/layers/patch_dropout.py/0 | {
"file_path": "pytorch-image-models/timm/layers/patch_dropout.py",
"repo_id": "pytorch-image-models",
"token_count": 1406
} | 239 |
from contextlib import nullcontext
from functools import wraps
from typing import Callable, Optional, Tuple, Type, TypeVar, Union, overload, ContextManager
import torch
__all__ = ["LayerType", "PadType", "nullwrap", "disable_compiler"]
LayerType = Union[str, Callable, Type[torch.nn.Module]]
PadType = Union[str, int... | pytorch-image-models/timm/layers/typing.py/0 | {
"file_path": "pytorch-image-models/timm/layers/typing.py",
"repo_id": "pytorch-image-models",
"token_count": 316
} | 240 |
import collections.abc
import math
import re
from collections import defaultdict
from itertools import chain
from typing import Any, Callable, Dict, Iterator, Optional, Tuple, Type, Union
import torch
import torch.utils.checkpoint
from torch import nn as nn
from torch import Tensor
from timm.layers import use_reentra... | pytorch-image-models/timm/models/_manipulate.py/0 | {
"file_path": "pytorch-image-models/timm/models/_manipulate.py",
"repo_id": "pytorch-image-models",
"token_count": 4690
} | 241 |
""" ConvNeXt
Papers:
* `A ConvNet for the 2020s` - https://arxiv.org/pdf/2201.03545.pdf
@Article{liu2022convnet,
author = {Zhuang Liu and Hanzi Mao and Chao-Yuan Wu and Christoph Feichtenhofer and Trevor Darrell and Saining Xie},
title = {A ConvNet for the 2020s},
journal = {Proceedings of the IEEE/CVF Confer... | pytorch-image-models/timm/models/convnext.py/0 | {
"file_path": "pytorch-image-models/timm/models/convnext.py",
"repo_id": "pytorch-image-models",
"token_count": 28603
} | 242 |
"""FasterNet
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
- paper: https://arxiv.org/abs/2303.03667
- code: https://github.com/JierunChen/FasterNet
@article{chen2023run,
title={Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks},
author={Chen, Jierun and Kao, Shiu-hong and He, Hao... | pytorch-image-models/timm/models/fasternet.py/0 | {
"file_path": "pytorch-image-models/timm/models/fasternet.py",
"repo_id": "pytorch-image-models",
"token_count": 8752
} | 243 |
""" Inception-V3
Originally from torchvision Inception3 model
Licensed BSD-Clause 3 https://github.com/pytorch/vision/blob/master/LICENSE
"""
from functools import partial
import torch
import torch.nn as nn
import torch.nn.functional as F
from timm.data import IMAGENET_DEFAULT_STD, IMAGENET_DEFAULT_MEAN, IMAGENET_IN... | pytorch-image-models/timm/models/inception_v3.py/0 | {
"file_path": "pytorch-image-models/timm/models/inception_v3.py",
"repo_id": "pytorch-image-models",
"token_count": 8637
} | 244 |
""" Normalization Free Nets. NFNet, NF-RegNet, NF-ResNet (pre-activation) Models
Paper: `Characterizing signal propagation to close the performance gap in unnormalized ResNets`
- https://arxiv.org/abs/2101.08692
Paper: `High-Performance Large-Scale Image Recognition Without Normalization`
- https://arxiv.org/... | pytorch-image-models/timm/models/nfnet.py/0 | {
"file_path": "pytorch-image-models/timm/models/nfnet.py",
"repo_id": "pytorch-image-models",
"token_count": 21054
} | 245 |
""" Sequencer
Paper: `Sequencer: Deep LSTM for Image Classification` - https://arxiv.org/pdf/2205.01972.pdf
"""
# Copyright (c) 2022. Yuki Tatsunami
# Licensed under the Apache License, Version 2.0 (the "License");
import math
from functools import partial
from itertools import accumulate
from typing import Option... | pytorch-image-models/timm/models/sequencer.py/0 | {
"file_path": "pytorch-image-models/timm/models/sequencer.py",
"repo_id": "pytorch-image-models",
"token_count": 9247
} | 246 |
""" Relative Position Vision Transformer (ViT) in PyTorch
NOTE: these models are experimental / WIP, expect changes
Hacked together by / Copyright 2022, Ross Wightman
"""
import logging
import math
from functools import partial
from typing import List, Optional, Tuple, Type, Union
try:
from typing import Literal... | pytorch-image-models/timm/models/vision_transformer_relpos.py/0 | {
"file_path": "pytorch-image-models/timm/models/vision_transformer_relpos.py",
"repo_id": "pytorch-image-models",
"token_count": 13432
} | 247 |
"""
AdamP Optimizer Implementation copied from https://github.com/clovaai/AdamP/blob/master/adamp/adamp.py
Paper: `Slowing Down the Weight Norm Increase in Momentum-based Optimizers` - https://arxiv.org/abs/2006.08217
Code: https://github.com/clovaai/AdamP
Copyright (c) 2020-present NAVER Corp.
MIT license
"""
impor... | pytorch-image-models/timm/optim/adamp.py/0 | {
"file_path": "pytorch-image-models/timm/optim/adamp.py",
"repo_id": "pytorch-image-models",
"token_count": 2028
} | 248 |
"""RAdam Optimizer.
Implementation lifted from: https://github.com/LiyuanLucasLiu/RAdam
Paper: `On the Variance of the Adaptive Learning Rate and Beyond` - https://arxiv.org/abs/1908.03265
NOTE: This impl has been deprecated in favour of torch.optim.RAdam and remains as a reference
"""
import math
import torch
from to... | pytorch-image-models/timm/optim/radam.py/0 | {
"file_path": "pytorch-image-models/timm/optim/radam.py",
"repo_id": "pytorch-image-models",
"token_count": 2159
} | 249 |
import fnmatch
import re
from collections import OrderedDict
from typing import Union, Optional, List
import torch
class AttentionExtract(torch.nn.Module):
# defaults should cover a significant number of timm models with attention maps.
default_node_names = ['*attn.softmax']
default_module_names = ['*att... | pytorch-image-models/timm/utils/attention_extract.py/0 | {
"file_path": "pytorch-image-models/timm/utils/attention_extract.py",
"repo_id": "pytorch-image-models",
"token_count": 1467
} | 250 |
#!/usr/bin/env python3
""" ImageNet Training Script
This is intended to be a lean and easily modifiable ImageNet training script that reproduces ImageNet
training results with some of the latest networks and training techniques. It favours canonical PyTorch
and standard Python style over trying to be able to 'do it al... | pytorch-image-models/train.py/0 | {
"file_path": "pytorch-image-models/train.py",
"repo_id": "pytorch-image-models",
"token_count": 29207
} | 251 |
# Built-in Tools
Ready-to-use tool implementations provided by the `smolagents` library.
These built-in tools are concrete implementations of the [`Tool`] base class, each designed for specific tasks such as web searching, Python code execution, webpage retrieval, and user interaction.
You can use these tools directl... | smolagents/docs/source/en/reference/default_tools.md/0 | {
"file_path": "smolagents/docs/source/en/reference/default_tools.md",
"repo_id": "smolagents",
"token_count": 618
} | 252 |
# `smolagents`
<div class="flex justify-center">
<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/smolagents/license_to_call.png" width=100%/>
</div>
यह लाइब्रेरी पावरफुल एजेंट्स बनाने के लिए सबसे सरल फ्रेमवर्क है! वैसे, "एजेंट्स" हैं क्या? हम अपनी परिभाषा [इस पेज पर](concep... | smolagents/docs/source/hi/index.md/0 | {
"file_path": "smolagents/docs/source/hi/index.md",
"repo_id": "smolagents",
"token_count": 2728
} | 253 |
# 编排 multi-agent 系统 🤖🤝🤖
[[open-in-colab]]
此notebook将构建一个 **multi-agent 网络浏览器：一个有多个代理协作，使用网络进行搜索解决问题的代理系统**
`ManagedAgent` 对象将封装这些管理网络搜索的agent，形成一个简单的层次结构：
```
+----------------+
| Manager agent |
+----------------+
|
_______________|______... | smolagents/docs/source/zh/examples/multiagents.md/0 | {
"file_path": "smolagents/docs/source/zh/examples/multiagents.md",
"repo_id": "smolagents",
"token_count": 3419
} | 254 |
# Async Applications with Agents
This example demonstrates how to use a `CodeAgent` from the `smolagents` library in an asynchronous Starlette web application.
The agent is executed in a background thread using `anyio.to_thread.run_sync`, allowing you to integrate synchronous agent logic into an async web server.
## ... | smolagents/examples/async_agent/README.md/0 | {
"file_path": "smolagents/examples/async_agent/README.md",
"repo_id": "smolagents",
"token_count": 525
} | 255 |
# Shamelessly stolen from Microsoft Autogen team: thanks to them for this great resource!
# https://github.com/microsoft/autogen/blob/gaia_multiagent_v01_march_1st/autogen/browser_utils.py
import copy
from smolagents.models import MessageRole, Model
def prepare_response(original_task: str, inner_messages, reformulat... | smolagents/examples/open_deep_research/scripts/reformulator.py/0 | {
"file_path": "smolagents/examples/open_deep_research/scripts/reformulator.py",
"repo_id": "smolagents",
"token_count": 1510
} | 256 |
from sqlalchemy import (
Column,
Float,
Integer,
MetaData,
String,
Table,
create_engine,
insert,
inspect,
text,
)
engine = create_engine("sqlite:///:memory:")
metadata_obj = MetaData()
# create city SQL table
table_name = "receipts"
receipts = Table(
table_name,
metada... | smolagents/examples/text_to_sql.py/0 | {
"file_path": "smolagents/examples/text_to_sql.py",
"repo_id": "smolagents",
"token_count": 860
} | 257 |
system_prompt: |-
You are an expert assistant who can solve any task using tool calls. You will be given a task to solve as best you can.
To do so, you have been given access to some tools.
The tool call you write is an action: after the tool is executed, you will get the result of the tool call as an "observati... | smolagents/src/smolagents/prompts/toolcalling_agent.yaml/0 | {
"file_path": "smolagents/src/smolagents/prompts/toolcalling_agent.yaml",
"repo_id": "smolagents",
"token_count": 3070
} | 258 |
# coding=utf-8
# Copyright 2024 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 ag... | smolagents/tests/test_function_type_hints_utils.py/0 | {
"file_path": "smolagents/tests/test_function_type_hints_utils.py",
"repo_id": "smolagents",
"token_count": 7061
} | 259 |
aml
target
server/transformers
server/flash-attention
cmake-build-debug/
cmake-build-release/
Dockerfile*
| text-generation-inference/.dockerignore/0 | {
"file_path": "text-generation-inference/.dockerignore",
"repo_id": "text-generation-inference",
"token_count": 37
} | 260 |
mkfile_path := $(abspath $(lastword $(MAKEFILE_LIST)))
mkfile_dir := $(dir $(mkfile_path))
root_dir := ${mkfile_dir}/../..
HABANA_VERSION := 1.21.0
PYTORCH_VERSION := 2.6.0
.PHONY: image run-local-dev-container install-dependencies install-server install-router install-launcher local-dev-install
image:
docker build... | text-generation-inference/backends/gaudi/Makefile/0 | {
"file_path": "text-generation-inference/backends/gaudi/Makefile",
"repo_id": "text-generation-inference",
"token_count": 1023
} | 261 |
[tool.poetry]
name = "text-generation-server"
version = "2.0.4"
description = "Text Generation Inference Python gRPC Server"
authors = ["Olivier Dehaene <olivier@huggingface.co>"]
[tool.poetry.scripts]
text-generation-server = 'text_generation_server.cli:app'
[tool.poetry.dependencies]
python = ">=3.9,<3.13"
protobuf... | text-generation-inference/backends/gaudi/server/pyproject.toml/0 | {
"file_path": "text-generation-inference/backends/gaudi/server/pyproject.toml",
"repo_id": "text-generation-inference",
"token_count": 524
} | 262 |
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