text stringlengths 5 409k | id stringlengths 14 178 | metadata dict | __index_level_0__ int64 0 572 |
|---|---|---|---|
import argparse
import json
import pathlib
parser = argparse.ArgumentParser()
parser.add_argument(
"--path",
type=str,
required=True,
help="Path to folder with image-text pairs.",
)
parser.add_argument("--caption_column", type=str, default="prompt", help="Name of caption column.")
args = parser.parse_... | diffusers/examples/dreambooth/convert_to_imagefolder.py/0 | {
"file_path": "diffusers/examples/dreambooth/convert_to_imagefolder.py",
"repo_id": "diffusers",
"token_count": 367
} | 100 |
import warnings
from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline # noqa F401
warnings.warn(
"The `inpainting.py` script is outdated. Please use directly `from diffusers import"
" StableDiffusionInpaintPipeline` instead."
)
| diffusers/examples/inference/inpainting.py/0 | {
"file_path": "diffusers/examples/inference/inpainting.py",
"repo_id": "diffusers",
"token_count": 89
} | 101 |
## Diffusion-based Policy Learning for RL
`diffusion_policy` implements [Diffusion Policy](https://diffusion-policy.cs.columbia.edu/), a diffusion model that predicts robot action sequences in reinforcement learning tasks.
This example implements a robot control model for pushing a T-shaped block into a target area.... | diffusers/examples/reinforcement_learning/README.md/0 | {
"file_path": "diffusers/examples/reinforcement_learning/README.md",
"repo_id": "diffusers",
"token_count": 465
} | 102 |
# GeoDiff
> [!TIP]
> This notebook is not actively maintained by the Diffusers team. For any questions or comments, please contact [natolambert](https://twitter.com/natolambert).
This is an experimental research notebook demonstrating how to generate stable 3D structures of molecules with [GeoDiff](https://github.com... | diffusers/examples/research_projects/geodiff/README.md/0 | {
"file_path": "diffusers/examples/research_projects/geodiff/README.md",
"repo_id": "diffusers",
"token_count": 95
} | 103 |
# Distillation for quantization on Textual Inversion models to personalize text2image
[Textual inversion](https://arxiv.org/abs/2208.01618) is a method to personalize text2image models like stable diffusion on your own images._By using just 3-5 images new concepts can be taught to Stable Diffusion and the model person... | diffusers/examples/research_projects/intel_opts/textual_inversion_dfq/README.md/0 | {
"file_path": "diffusers/examples/research_projects/intel_opts/textual_inversion_dfq/README.md",
"repo_id": "diffusers",
"token_count": 1443
} | 104 |
# Multi Subject Dreambooth for Inpainting Models
Please note that this project is not actively maintained. However, you can open an issue and tag @gzguevara.
[DreamBooth](https://arxiv.org/abs/2208.12242) is a method to personalize text2image models like stable diffusion given just a few(3~5) images of a subject. Thi... | diffusers/examples/research_projects/multi_subject_dreambooth_inpainting/README.md/0 | {
"file_path": "diffusers/examples/research_projects/multi_subject_dreambooth_inpainting/README.md",
"repo_id": "diffusers",
"token_count": 1665
} | 105 |
## Training examples
Creating a training image set is [described in a different document](https://huggingface.co/docs/datasets/image_process#image-datasets).
### Installing the dependencies
Before running the scripts, make sure to install the library's training dependencies:
**Important**
To make sure you can succ... | diffusers/examples/research_projects/onnxruntime/unconditional_image_generation/README.md/0 | {
"file_path": "diffusers/examples/research_projects/onnxruntime/unconditional_image_generation/README.md",
"repo_id": "diffusers",
"token_count": 500
} | 106 |
# Stable Diffusion text-to-image fine-tuning using PyTorch/XLA
The `train_text_to_image_xla.py` script shows how to fine-tune stable diffusion model on TPU devices using PyTorch/XLA.
It has been tested on v4 and v5p TPU versions. Training code has been tested on multi-host.
This script implements Distributed Data P... | diffusers/examples/research_projects/pytorch_xla/training/text_to_image/README.md/0 | {
"file_path": "diffusers/examples/research_projects/pytorch_xla/training/text_to_image/README.md",
"repo_id": "diffusers",
"token_count": 2275
} | 107 |
#!/usr/bin/env python
# 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/LI... | diffusers/examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image_lora_sdxl.py/0 | {
"file_path": "diffusers/examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image_lora_sdxl.py",
"repo_id": "diffusers",
"token_count": 26445
} | 108 |
#!/usr/bin/env python
# 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/LI... | diffusers/examples/text_to_image/test_text_to_image.py/0 | {
"file_path": "diffusers/examples/text_to_image/test_text_to_image.py",
"repo_id": "diffusers",
"token_count": 7427
} | 109 |
## Training an unconditional diffusion model
Creating a training image set is [described in a different document](https://huggingface.co/docs/datasets/image_process#image-datasets).
### Installing the dependencies
Before running the scripts, make sure to install the library's training dependencies:
**Important**
T... | diffusers/examples/unconditional_image_generation/README.md/0 | {
"file_path": "diffusers/examples/unconditional_image_generation/README.md",
"repo_id": "diffusers",
"token_count": 1939
} | 110 |
import argparse
from typing import Dict
import torch
import torch.nn as nn
from diffusers import SparseControlNetModel
KEYS_RENAME_MAPPING = {
".attention_blocks.0": ".attn1",
".attention_blocks.1": ".attn2",
".attn1.pos_encoder": ".pos_embed",
".ff_norm": ".norm3",
".norms.0": ".norm1",
".n... | diffusers/scripts/convert_animatediff_sparsectrl_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_animatediff_sparsectrl_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 1144
} | 111 |
import argparse
import os
import torch
from torchvision.datasets.utils import download_url
from diffusers import AutoencoderKL, DDIMScheduler, DiTPipeline, Transformer2DModel
pretrained_models = {512: "DiT-XL-2-512x512.pt", 256: "DiT-XL-2-256x256.pt"}
def download_model(model_name):
"""
Downloads a pre-tr... | diffusers/scripts/convert_dit_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_dit_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 3037
} | 112 |
import argparse
import os
import torch
from safetensors.torch import load_file
from transformers import AutoModel, AutoTokenizer
from diffusers import AutoencoderKL, FlowMatchEulerDiscreteScheduler, LuminaNextDiT2DModel, LuminaText2ImgPipeline
def main(args):
# checkpoint from https://huggingface.co/Alpha-VLLM/... | diffusers/scripts/convert_lumina_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_lumina_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 3156
} | 113 |
"""
A script to convert Stable Diffusion 3.5 ControlNet checkpoints to the Diffusers format.
Example:
Convert a SD3.5 ControlNet checkpoint to Diffusers format using local file:
```bash
python scripts/convert_sd3_controlnet_to_diffusers.py \
--checkpoint_path "path/to/local/sd3.5_large_controlnet_c... | diffusers/scripts/convert_sd3_controlnet_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_sd3_controlnet_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 3453
} | 114 |
"""
This script ports models from VQ-diffusion (https://github.com/microsoft/VQ-Diffusion) to diffusers.
It currently only supports porting the ITHQ dataset.
ITHQ dataset:
```sh
# From the root directory of diffusers.
# Download the VQVAE checkpoint
$ wget https://facevcstandard.blob.core.windows.net/v-zhictang/Impr... | diffusers/scripts/convert_vq_diffusion_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_vq_diffusion_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 14916
} | 115 |
from .rl import ValueGuidedRLPipeline
| diffusers/src/diffusers/experimental/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/experimental/__init__.py",
"repo_id": "diffusers",
"token_count": 12
} | 116 |
# 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... | diffusers/src/diffusers/loaders/single_file_model.py/0 | {
"file_path": "diffusers/src/diffusers/loaders/single_file_model.py",
"repo_id": "diffusers",
"token_count": 8234
} | 117 |
# 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... | diffusers/src/diffusers/models/autoencoders/autoencoder_asym_kl.py/0 | {
"file_path": "diffusers/src/diffusers/models/autoencoders/autoencoder_asym_kl.py",
"repo_id": "diffusers",
"token_count": 3202
} | 118 |
# Copyright 2024 Black Forest Labs, The HuggingFace Team and The InstantX 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/LIC... | diffusers/src/diffusers/models/controlnet_flux.py/0 | {
"file_path": "diffusers/src/diffusers/models/controlnet_flux.py",
"repo_id": "diffusers",
"token_count": 1280
} | 119 |
# 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... | diffusers/src/diffusers/models/embeddings_flax.py/0 | {
"file_path": "diffusers/src/diffusers/models/embeddings_flax.py",
"repo_id": "diffusers",
"token_count": 1749
} | 120 |
# 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... | diffusers/src/diffusers/models/transformers/dual_transformer_2d.py/0 | {
"file_path": "diffusers/src/diffusers/models/transformers/dual_transformer_2d.py",
"repo_id": "diffusers",
"token_count": 3174
} | 121 |
# Copyright 2024 Alpha-VLLM Authors 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
#
# Unles... | diffusers/src/diffusers/models/transformers/transformer_lumina2.py/0 | {
"file_path": "diffusers/src/diffusers/models/transformers/transformer_lumina2.py",
"repo_id": "diffusers",
"token_count": 10374
} | 122 |
# 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... | diffusers/src/diffusers/models/unets/unet_kandinsky3.py/0 | {
"file_path": "diffusers/src/diffusers/models/unets/unet_kandinsky3.py",
"repo_id": "diffusers",
"token_count": 9581
} | 123 |
# 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... | diffusers/src/diffusers/pipelines/amused/pipeline_amused_img2img.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/amused/pipeline_amused_img2img.py",
"repo_id": "diffusers",
"token_count": 7695
} | 124 |
# Copyright 2024 AuraFlow Authors 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 ... | diffusers/src/diffusers/pipelines/aura_flow/pipeline_aura_flow.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/aura_flow/pipeline_aura_flow.py",
"repo_id": "diffusers",
"token_count": 13778
} | 125 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_additional_imports = {}
_import_structure = {"pipeline_output": ["CogView4... | diffusers/src/diffusers/pipelines/cogview4/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/cogview4/__init__.py",
"repo_id": "diffusers",
"token_count": 590
} | 126 |
from typing import TYPE_CHECKING
from ...utils import DIFFUSERS_SLOW_IMPORT, _LazyModule
_import_structure = {"pipeline_ddim": ["DDIMPipeline"]}
if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
from .pipeline_ddim import DDIMPipeline
else:
import sys
sys.modules[__name__] = _LazyModule(
__name__,
... | diffusers/src/diffusers/pipelines/ddim/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/ddim/__init__.py",
"repo_id": "diffusers",
"token_count": 180
} | 127 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_librosa_available,
is_note_seq_available,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}... | diffusers/src/diffusers/pipelines/deprecated/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/__init__.py",
"repo_id": "diffusers",
"token_count": 2227
} | 128 |
# 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... | diffusers/src/diffusers/pipelines/deprecated/score_sde_ve/pipeline_score_sde_ve.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/score_sde_ve/pipeline_score_sde_ve.py",
"repo_id": "diffusers",
"token_count": 1759
} | 129 |
from typing import Any, Dict, List, Optional, Tuple, Union
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from diffusers.utils import deprecate
from ....configuration_utils import ConfigMixin, register_to_config
from ....models import ModelMixin
from ....models.activations impo... | diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/modeling_text_unet.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/versatile_diffusion/modeling_text_unet.py",
"repo_id": "diffusers",
"token_count": 54027
} | 130 |
# Copyright 2024 Alibaba DAMO-VILAB 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
#
# Unles... | diffusers/src/diffusers/pipelines/i2vgen_xl/pipeline_i2vgen_xl.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/i2vgen_xl/pipeline_i2vgen_xl.py",
"repo_id": "diffusers",
"token_count": 16480
} | 131 |
from typing import List, Optional, Union
import PIL.Image
import torch
from transformers import CLIPImageProcessor, CLIPTextModelWithProjection, CLIPTokenizer, CLIPVisionModelWithProjection
from ...models import PriorTransformer
from ...schedulers import UnCLIPScheduler
from ...utils import (
is_torch_xla_availab... | diffusers/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_prior_emb2emb.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_prior_emb2emb.py",
"repo_id": "diffusers",
"token_count": 11343
} | 132 |
import inspect
from typing import List, Optional, Tuple, Union
import numpy as np
import PIL.Image
import torch
import torch.utils.checkpoint
from ...models import UNet2DModel, VQModel
from ...schedulers import (
DDIMScheduler,
DPMSolverMultistepScheduler,
EulerAncestralDiscreteScheduler,
EulerDiscret... | diffusers/src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion_superresolution.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion_superresolution.py",
"repo_id": "diffusers",
"token_count": 3566
} | 133 |
from typing import List, Optional, Tuple, Union
import numpy as np
import PIL
import torch
import torch.nn.functional as F
from PIL import Image
from ... import ConfigMixin
from ...configuration_utils import register_to_config
from ...image_processor import PipelineImageInput
from ...utils import CONFIG_NAME, logging... | diffusers/src/diffusers/pipelines/marigold/marigold_image_processing.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/marigold/marigold_image_processing.py",
"repo_id": "diffusers",
"token_count": 11971
} | 134 |
# 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... | diffusers/src/diffusers/pipelines/paint_by_example/image_encoder.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/paint_by_example/image_encoder.py",
"repo_id": "diffusers",
"token_count": 942
} | 135 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and is... | diffusers/src/diffusers/pipelines/shap_e/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/shap_e/__init__.py",
"repo_id": "diffusers",
"token_count": 939
} | 136 |
# 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... | diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion.py",
"repo_id": "diffusers",
"token_count": 9111
} | 137 |
# 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... | diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip.py",
"repo_id": "diffusers",
"token_count": 19926
} | 138 |
from dataclasses import dataclass
from typing import List, Union
import numpy as np
import PIL.Image
from ...utils import BaseOutput, is_flax_available
@dataclass
class StableDiffusionXLPipelineOutput(BaseOutput):
"""
Output class for Stable Diffusion pipelines.
Args:
images (`List[PIL.Image.Im... | diffusers/src/diffusers/pipelines/stable_diffusion_xl/pipeline_output.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_xl/pipeline_output.py",
"repo_id": "diffusers",
"token_count": 401
} | 139 |
import copy
import inspect
from dataclasses import dataclass
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import numpy as np
import PIL
import torch
import torch.nn.functional as F
from torch.nn.functional import grid_sample
from transformers import (
CLIPImageProcessor,
CLIPTextModel,
... | diffusers/src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_zero_sdxl.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_zero_sdxl.py",
"repo_id": "diffusers",
"token_count": 28929
} | 140 |
# 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... | diffusers/src/diffusers/schedulers/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/__init__.py",
"repo_id": "diffusers",
"token_count": 4369
} | 141 |
# Copyright (c) 2022 Pablo PernΓas MIT License
# Copyright 2024 UC Berkeley 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://... | diffusers/src/diffusers/schedulers/scheduling_ddpm_wuerstchen.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_ddpm_wuerstchen.py",
"repo_id": "diffusers",
"token_count": 3645
} | 142 |
# Copyright 2024 Zhejiang University 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
#
#... | diffusers/src/diffusers/schedulers/scheduling_ipndm.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_ipndm.py",
"repo_id": "diffusers",
"token_count": 3642
} | 143 |
# 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... | diffusers/src/diffusers/schedulers/scheduling_utils.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_utils.py",
"repo_id": "diffusers",
"token_count": 3405
} | 144 |
# 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
} | 145 |
import ast
import importlib
import inspect
import textwrap
class ReturnNameVisitor(ast.NodeVisitor):
"""Thanks to ChatGPT for pairing."""
def __init__(self):
self.return_names = []
def visit_Return(self, node):
# Check if the return value is a tuple.
if isinstance(node.value, ast... | diffusers/src/diffusers/utils/source_code_parsing_utils.py/0 | {
"file_path": "diffusers/src/diffusers/utils/source_code_parsing_utils.py",
"repo_id": "diffusers",
"token_count": 901
} | 146 |
# 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 agreed to in writ... | diffusers/tests/lora/test_lora_layers_hunyuanvideo.py/0 | {
"file_path": "diffusers/tests/lora/test_lora_layers_hunyuanvideo.py",
"repo_id": "diffusers",
"token_count": 3774
} | 147 |
# 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... | diffusers/tests/models/autoencoders/test_models_autoencoder_kl_temporal_decoder.py/0 | {
"file_path": "diffusers/tests/models/autoencoders/test_models_autoencoder_kl_temporal_decoder.py",
"repo_id": "diffusers",
"token_count": 873
} | 148 |
# 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... | diffusers/tests/models/transformers/test_models_prior.py/0 | {
"file_path": "diffusers/tests/models/transformers/test_models_prior.py",
"repo_id": "diffusers",
"token_count": 2687
} | 149 |
# 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 agreed to in writ... | diffusers/tests/models/transformers/test_models_transformer_sana.py/0 | {
"file_path": "diffusers/tests/models/transformers/test_models_transformer_sana.py",
"repo_id": "diffusers",
"token_count": 1065
} | 150 |
import os
import sys
import unittest
from unittest.mock import mock_open, patch
git_repo_path = os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, "utils"))
from check_support_list import check_documentation # noqa: E402
class TestCheckSupportL... | diffusers/tests/others/test_check_support_list.py/0 | {
"file_path": "diffusers/tests/others/test_check_support_list.py",
"repo_id": "diffusers",
"token_count": 1074
} | 151 |
# 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... | diffusers/tests/pipelines/amused/test_amused_inpaint.py/0 | {
"file_path": "diffusers/tests/pipelines/amused/test_amused_inpaint.py",
"repo_id": "diffusers",
"token_count": 4672
} | 152 |
# 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... | diffusers/tests/pipelines/controlnet/test_controlnet_img2img.py/0 | {
"file_path": "diffusers/tests/pipelines/controlnet/test_controlnet_img2img.py",
"repo_id": "diffusers",
"token_count": 7935
} | 153 |
# coding=utf-8
# Copyright 2023 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/controlnet_xs/test_controlnetxs.py/0 | {
"file_path": "diffusers/tests/pipelines/controlnet_xs/test_controlnetxs.py",
"repo_id": "diffusers",
"token_count": 6786
} | 154 |
# 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... | diffusers/tests/pipelines/dit/test_dit.py/0 | {
"file_path": "diffusers/tests/pipelines/dit/test_dit.py",
"repo_id": "diffusers",
"token_count": 2394
} | 155 |
# 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... | diffusers/tests/pipelines/i2vgen_xl/test_i2vgenxl.py/0 | {
"file_path": "diffusers/tests/pipelines/i2vgen_xl/test_i2vgenxl.py",
"repo_id": "diffusers",
"token_count": 4354
} | 156 |
# 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... | diffusers/tests/pipelines/kandinsky2_2/test_kandinsky_prior_emb2emb.py/0 | {
"file_path": "diffusers/tests/pipelines/kandinsky2_2/test_kandinsky_prior_emb2emb.py",
"repo_id": "diffusers",
"token_count": 3328
} | 157 |
# coding=utf-8
# Copyright 2023 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/ledits_pp/test_ledits_pp_stable_diffusion.py/0 | {
"file_path": "diffusers/tests/pipelines/ledits_pp/test_ledits_pp_stable_diffusion.py",
"repo_id": "diffusers",
"token_count": 4193
} | 158 |
# Copyright 2024 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/sana/test_sana.py/0 | {
"file_path": "diffusers/tests/pipelines/sana/test_sana.py",
"repo_id": "diffusers",
"token_count": 6382
} | 159 |
# coding=utf-8
# Copyright 2022 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/test_onnx_stable_diffusion_upscale.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion/test_onnx_stable_diffusion_upscale.py",
"repo_id": "diffusers",
"token_count": 3917
} | 160 |
# 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... | diffusers/tests/pipelines/unclip/test_unclip_image_variation.py/0 | {
"file_path": "diffusers/tests/pipelines/unclip/test_unclip_image_variation.py",
"repo_id": "diffusers",
"token_count": 8242
} | 161 |
import torch
from diffusers import DDIMScheduler
from .test_schedulers import SchedulerCommonTest
class DDIMSchedulerTest(SchedulerCommonTest):
scheduler_classes = (DDIMScheduler,)
forward_default_kwargs = (("eta", 0.0), ("num_inference_steps", 50))
def get_scheduler_config(self, **kwargs):
con... | diffusers/tests/schedulers/test_scheduler_ddim.py/0 | {
"file_path": "diffusers/tests/schedulers/test_scheduler_ddim.py",
"repo_id": "diffusers",
"token_count": 3127
} | 162 |
import tempfile
import unittest
import torch
from diffusers import IPNDMScheduler
from .test_schedulers import SchedulerCommonTest
class IPNDMSchedulerTest(SchedulerCommonTest):
scheduler_classes = (IPNDMScheduler,)
forward_default_kwargs = (("num_inference_steps", 50),)
def get_scheduler_config(self,... | diffusers/tests/schedulers/test_scheduler_ipndm.py/0 | {
"file_path": "diffusers/tests/schedulers/test_scheduler_ipndm.py",
"repo_id": "diffusers",
"token_count": 3140
} | 163 |
# 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... | diffusers/tests/single_file/test_model_autoencoder_dc_single_file.py/0 | {
"file_path": "diffusers/tests/single_file/test_model_autoencoder_dc_single_file.py",
"repo_id": "diffusers",
"token_count": 2113
} | 164 |
import gc
import unittest
import torch
from diffusers import StableDiffusionXLInstructPix2PixPipeline
from diffusers.utils.testing_utils import (
backend_empty_cache,
enable_full_determinism,
require_torch_accelerator,
slow,
torch_device,
)
enable_full_determinism()
@slow
@require_torch_accele... | diffusers/tests/single_file/test_stable_diffusion_xl_instruct_pix2pix.py/0 | {
"file_path": "diffusers/tests/single_file/test_stable_diffusion_xl_instruct_pix2pix.py",
"repo_id": "diffusers",
"token_count": 685
} | 165 |
"""
This scripts demonstrates how to evaluate a pretrained policy from the HuggingFace Hub or from your local
training outputs directory. In the latter case, you might want to run examples/3_train_policy.py first.
It requires the installation of the 'gym_pusht' simulation environment. Install it by running:
```bash
pi... | lerobot/examples/2_evaluate_pretrained_policy.py/0 | {
"file_path": "lerobot/examples/2_evaluate_pretrained_policy.py",
"repo_id": "lerobot",
"token_count": 1312
} | 166 |
#!/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/lerobot/common/datasets/lerobot_dataset.py/0 | {
"file_path": "lerobot/lerobot/common/datasets/lerobot_dataset.py",
"repo_id": "lerobot",
"token_count": 20806
} | 167 |
#!/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/lerobot/common/datasets/push_dataset_to_hub/aloha_hdf5_format.py/0 | {
"file_path": "lerobot/lerobot/common/datasets/push_dataset_to_hub/aloha_hdf5_format.py",
"repo_id": "lerobot",
"token_count": 3851
} | 168 |
#!/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/lerobot/common/envs/factory.py/0 | {
"file_path": "lerobot/lerobot/common/envs/factory.py",
"repo_id": "lerobot",
"token_count": 913
} | 169 |
from transformers import GemmaConfig, PaliGemmaConfig
def get_paligemma_config(precision: str):
config = {
"image_token_index": None,
"pad_token_id": 0,
"bos_token_id": 2,
"eos_token_id": 1,
}
# image_sizes = {"2b-test": 224, "3b-224px": 224, "3b-448px": 448, "3b-896px": 8... | lerobot/lerobot/common/policies/pi0/conversion_scripts/conversion_utils.py/0 | {
"file_path": "lerobot/lerobot/common/policies/pi0/conversion_scripts/conversion_utils.py",
"repo_id": "lerobot",
"token_count": 999
} | 170 |
import logging
from dataclasses import dataclass
from pathlib import Path
import draccus
from lerobot.common.robot_devices.robots.configs import RobotConfig
from lerobot.common.utils.utils import auto_select_torch_device, is_amp_available, is_torch_device_available
from lerobot.configs import parser
from lerobot.conf... | lerobot/lerobot/common/robot_devices/control_configs.py/0 | {
"file_path": "lerobot/lerobot/common/robot_devices/control_configs.py",
"repo_id": "lerobot",
"token_count": 2306
} | 171 |
#!/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/lerobot/common/utils/io_utils.py/0 | {
"file_path": "lerobot/lerobot/common/utils/io_utils.py",
"repo_id": "lerobot",
"token_count": 1707
} | 172 |
#!/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/lerobot/scripts/eval.py/0 | {
"file_path": "lerobot/lerobot/scripts/eval.py",
"repo_id": "lerobot",
"token_count": 8134
} | 173 |
version https://git-lfs.github.com/spec/v1
oid sha256:6bdf22208d49cd36d24bc844d4d8bda5e321eafe39d2b470e4fc95c7812fdb24
size 3687117
| lerobot/tests/data/save_dataset_to_safetensors/lerobot/aloha_sim_insertion_human/frame_0.safetensors/0 | {
"file_path": "lerobot/tests/data/save_dataset_to_safetensors/lerobot/aloha_sim_insertion_human/frame_0.safetensors",
"repo_id": "lerobot",
"token_count": 67
} | 174 |
version https://git-lfs.github.com/spec/v1
oid sha256:07c5c1a63998884ee747a6d0aa8f49217da3c32af2760dad2a9da794d3517003
size 85353
| lerobot/tests/data/save_dataset_to_safetensors/lerobot/xarm_lift_medium/frame_23.safetensors/0 | {
"file_path": "lerobot/tests/data/save_dataset_to_safetensors/lerobot/xarm_lift_medium/frame_23.safetensors",
"repo_id": "lerobot",
"token_count": 65
} | 175 |
version https://git-lfs.github.com/spec/v1
oid sha256:0c259ea9c40aab3841ca35b2a2e708d8829b0a9163b2f9e5efd28f1c65848293
size 4600
| lerobot/tests/data/save_policy_to_safetensors/pusht_diffusion/actions.safetensors/0 | {
"file_path": "lerobot/tests/data/save_policy_to_safetensors/pusht_diffusion/actions.safetensors",
"repo_id": "lerobot",
"token_count": 69
} | 176 |
import pytest
import torch
from lerobot.common.optim.optimizers import AdamConfig
from lerobot.common.optim.schedulers import VQBeTSchedulerConfig
@pytest.fixture
def model_params():
return [torch.nn.Parameter(torch.randn(10, 10))]
@pytest.fixture
def optimizer(model_params):
optimizer = AdamConfig().build... | lerobot/tests/fixtures/optimizers.py/0 | {
"file_path": "lerobot/tests/fixtures/optimizers.py",
"repo_id": "lerobot",
"token_count": 252
} | 177 |
#!/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/test_image_transforms.py/0 | {
"file_path": "lerobot/tests/test_image_transforms.py",
"repo_id": "lerobot",
"token_count": 5944
} | 178 |
#!/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/utils.py/0 | {
"file_path": "lerobot/tests/utils.py",
"repo_id": "lerobot",
"token_count": 4768
} | 179 |
# Open R1
*A fully open reproduction of DeepSeek-R1. This repo is a work in progress, let's build it together!*
**Table of Contents**
1. [Overview](#overview)
2. [Plan of attack](#plan-of-attack)
3. [Installation](#installation)
4. [Training models](#training-models)
- [SFT](#sft)
- [GRPO](#grpo)
... | open-r1/README.md/0 | {
"file_path": "open-r1/README.md",
"repo_id": "open-r1",
"token_count": 9400
} | 180 |
[isort]
default_section = FIRSTPARTY
ensure_newline_before_comments = True
force_grid_wrap = 0
include_trailing_comma = True
known_first_party = open_r1
known_third_party =
transformers
datasets
fugashi
git
h5py
matplotlib
nltk
numpy
packaging
pandas
psutil
pytest
rou... | open-r1/setup.cfg/0 | {
"file_path": "open-r1/setup.cfg",
"repo_id": "open-r1",
"token_count": 300
} | 181 |
from .import_utils import is_e2b_available
from .model_utils import get_tokenizer
__all__ = ["get_tokenizer", "is_e2b_available"]
| open-r1/src/open_r1/utils/__init__.py/0 | {
"file_path": "open-r1/src/open_r1/utils/__init__.py",
"repo_id": "open-r1",
"token_count": 46
} | 182 |
<!---
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 ... | peft/docs/README.md/0 | {
"file_path": "peft/docs/README.md",
"repo_id": "peft",
"token_count": 2889
} | 183 |
<!--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/developer_guides/quantization.md/0 | {
"file_path": "peft/docs/source/developer_guides/quantization.md",
"repo_id": "peft",
"token_count": 3748
} | 184 |
#!/usr/bin/env python
# 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 require... | peft/examples/boft_controlnet/train_controlnet.py/0 | {
"file_path": "peft/examples/boft_controlnet/train_controlnet.py",
"repo_id": "peft",
"token_count": 10032
} | 185 |
import os
import torch
from datasets import load_dataset
from torch.utils.data import DataLoader
from tqdm import tqdm
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, default_data_collator, get_linear_schedule_with_warmup
from peft import AdaLoraConfig, PeftConfig, PeftModel, TaskType, get_peft_model
... | peft/examples/conditional_generation/peft_adalora_seq2seq.py/0 | {
"file_path": "peft/examples/conditional_generation/peft_adalora_seq2seq.py",
"repo_id": "peft",
"token_count": 2253
} | 186 |
<jupyter_start><jupyter_text>PEFT with DNA Language Models This notebook demonstrates how to utilize parameter-efficient fine-tuning techniques (PEFT) from the PEFT library to fine-tune a DNA Language Model (DNA-LM). The fine-tuned DNA-LM will be applied to solve a task from the nucleotide benchmark dataset. Parameter-... | peft/examples/dna_language_models/dna_lm.ipynb/0 | {
"file_path": "peft/examples/dna_language_models/dna_lm.ipynb",
"repo_id": "peft",
"token_count": 3782
} | 187 |
<jupyter_start><jupyter_code>import os
from PIL import Image
import torch
from accelerate.logging import get_logger
from diffusers import StableDiffusionPipeline
from diffusers.utils import check_min_version
from peft import PeftModel
# Will error if the minimal version of diffusers is not installed. Remove at your... | peft/examples/hra_dreambooth/dreambooth_inference.ipynb/0 | {
"file_path": "peft/examples/hra_dreambooth/dreambooth_inference.ipynb",
"repo_id": "peft",
"token_count": 1113
} | 188 |
accelerate launch --config_file config.yaml peft_adalora_whisper_large_training.py \
--model_name_or_path "openai/whisper-large-v2" \
--language "Marathi" \
--language_abbr "mr" \
--task "transcribe" \
--dataset_name "mozilla-foundation/common_voice_11_0" \
--push_to_hub \
--preprocessing_nu... | peft/examples/int8_training/run_adalora_whisper_int8.sh/0 | {
"file_path": "peft/examples/int8_training/run_adalora_whisper_int8.sh",
"repo_id": "peft",
"token_count": 509
} | 189 |
<jupyter_start><jupyter_text>Dreambooth with OFTThis Notebook assumes that you already ran the train_dreambooth.py script to create your own adapter.<jupyter_code>from diffusers import DiffusionPipeline
from diffusers.utils import check_min_version, get_logger
from peft import PeftModel
# Will error if the minimal ver... | peft/examples/oft_dreambooth/oft_dreambooth_inference.ipynb/0 | {
"file_path": "peft/examples/oft_dreambooth/oft_dreambooth_inference.ipynb",
"repo_id": "peft",
"token_count": 376
} | 190 |
# 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/scripts/launch_notebook_mp.py/0 | {
"file_path": "peft/scripts/launch_notebook_mp.py",
"repo_id": "peft",
"token_count": 474
} | 191 |
# 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/__init__.py/0 | {
"file_path": "peft/src/peft/tuners/__init__.py",
"repo_id": "peft",
"token_count": 1113
} | 192 |
#include <torch/torch.h>
#include <vector>
#include <iostream>
#include <torch/extension.h>
std::vector<at::Tensor> forward_fast_block_diag_cuda(
at::Tensor input);
std::vector<at::Tensor> forward_fast_block_diag(
at::Tensor input
) {
return forward_fast_block_diag_cuda(input);
}
std::vec... | peft/src/peft/tuners/boft/fbd/fbd_cuda.cpp/0 | {
"file_path": "peft/src/peft/tuners/boft/fbd/fbd_cuda.cpp",
"repo_id": "peft",
"token_count": 370
} | 193 |
# 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/lora/model.py/0 | {
"file_path": "peft/src/peft/tuners/lora/model.py",
"repo_id": "peft",
"token_count": 20051
} | 194 |
# 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/vera/__init__.py/0 | {
"file_path": "peft/src/peft/tuners/vera/__init__.py",
"repo_id": "peft",
"token_count": 419
} | 195 |
# 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/utils/merge_utils.py/0 | {
"file_path": "peft/src/peft/utils/merge_utils.py",
"repo_id": "peft",
"token_count": 3819
} | 196 |
# 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/tests/test_encoder_decoder_models.py/0 | {
"file_path": "peft/tests/test_encoder_decoder_models.py",
"repo_id": "peft",
"token_count": 5682
} | 197 |
#!/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
} | 198 |
# Feature Extraction
All of the models in `timm` have consistent mechanisms for obtaining various types of features from the model for tasks besides classification.
## Penultimate Layer Features (Pre-Classifier Features)
The features from the penultimate model layer can be obtained in several ways without requiring ... | pytorch-image-models/hfdocs/source/feature_extraction.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/feature_extraction.mdx",
"repo_id": "pytorch-image-models",
"token_count": 3391
} | 199 |
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