text stringlengths 5 409k | id stringlengths 14 178 | metadata dict | __index_level_0__ int64 0 572 |
|---|---|---|---|
# 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/safety_checker_flax.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/safety_checker_flax.py",
"repo_id": "diffusers",
"token_count": 1822
} | 127 |
# 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_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": 20267
} | 128 |
# Copyright 2024 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": 10049
} | 129 |
# Copyright 2024 Google 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 requ... | diffusers/src/diffusers/schedulers/deprecated/scheduling_sde_vp.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/deprecated/scheduling_sde_vp.py",
"repo_id": "diffusers",
"token_count": 1693
} | 130 |
# Copyright 2024 NVIDIA 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 required b... | diffusers/src/diffusers/schedulers/scheduling_karras_ve_flax.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_karras_ve_flax.py",
"repo_id": "diffusers",
"token_count": 3948
} | 131 |
import contextlib
import copy
import gc
import math
import random
from typing import Any, Dict, Iterable, List, Optional, Tuple, Union
import numpy as np
import torch
from .models import UNet2DConditionModel
from .schedulers import SchedulerMixin
from .utils import (
convert_state_dict_to_diffusers,
convert_s... | diffusers/src/diffusers/training_utils.py/0 | {
"file_path": "diffusers/src/diffusers/training_utils.py",
"repo_id": "diffusers",
"token_count": 11140
} | 132 |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class KolorsImg2ImgPipeline(metaclass=DummyObject):
_backends = ["torch", "transformers", "sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torc... | diffusers/src/diffusers/utils/dummy_torch_and_transformers_and_sentencepiece_objects.py/0 | {
"file_path": "diffusers/src/diffusers/utils/dummy_torch_and_transformers_and_sentencepiece_objects.py",
"repo_id": "diffusers",
"token_count": 636
} | 133 |
# 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/utils/torch_utils.py/0 | {
"file_path": "diffusers/src/diffusers/utils/torch_utils.py",
"repo_id": "diffusers",
"token_count": 2534
} | 134 |
# 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_mochi.py/0 | {
"file_path": "diffusers/tests/lora/test_lora_layers_mochi.py",
"repo_id": "diffusers",
"token_count": 2021
} | 135 |
# 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_tiny.py/0 | {
"file_path": "diffusers/tests/models/autoencoders/test_models_autoencoder_tiny.py",
"repo_id": "diffusers",
"token_count": 4073
} | 136 |
# 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_transformer_cogvideox.py/0 | {
"file_path": "diffusers/tests/models/transformers/test_models_transformer_cogvideox.py",
"repo_id": "diffusers",
"token_count": 2166
} | 137 |
# 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/others/test_ema.py/0 | {
"file_path": "diffusers/tests/others/test_ema.py",
"repo_id": "diffusers",
"token_count": 6188
} | 138 |
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
import diffusers
from diffusers import (
AnimateDiffControlNetPipeline,
AutoencoderKL,
ControlNetModel,
DDIMScheduler,
DPMSolverMultistepScheduler,
LCMSch... | diffusers/tests/pipelines/animatediff/test_animatediff_controlnet.py/0 | {
"file_path": "diffusers/tests/pipelines/animatediff/test_animatediff_controlnet.py",
"repo_id": "diffusers",
"token_count": 9805
} | 139 |
# 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_sdxl.py/0 | {
"file_path": "diffusers/tests/pipelines/controlnet/test_controlnet_sdxl.py",
"repo_id": "diffusers",
"token_count": 19950
} | 140 |
# 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/dance_diffusion/test_dance_diffusion.py/0 | {
"file_path": "diffusers/tests/pipelines/dance_diffusion/test_dance_diffusion.py",
"repo_id": "diffusers",
"token_count": 2496
} | 141 |
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import AutoTokenizer, CLIPTextConfig, CLIPTextModel, CLIPTokenizer, T5EncoderModel
from diffusers import AutoencoderKL, FlowMatchEulerDiscreteScheduler, FluxControlPipeline, FluxTransformer2DModel
from diffusers.utils.testing_util... | diffusers/tests/pipelines/flux/test_pipeline_flux_control.py/0 | {
"file_path": "diffusers/tests/pipelines/flux/test_pipeline_flux_control.py",
"repo_id": "diffusers",
"token_count": 3592
} | 142 |
# 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/kandinsky/test_kandinsky.py/0 | {
"file_path": "diffusers/tests/pipelines/kandinsky/test_kandinsky.py",
"repo_id": "diffusers",
"token_count": 4907
} | 143 |
# 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/kandinsky3/test_kandinsky3_img2img.py/0 | {
"file_path": "diffusers/tests/pipelines/kandinsky3/test_kandinsky3_img2img.py",
"repo_id": "diffusers",
"token_count": 3628
} | 144 |
import inspect
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AnimateDiffPAGPipeline,
AnimateDiffPipeline,
AutoencoderKL,
DDIMScheduler,
DPMSolverMultistepScheduler,
LCMScheduler,
MotionAdapter,
... | diffusers/tests/pipelines/pag/test_pag_animatediff.py/0 | {
"file_path": "diffusers/tests/pipelines/pag/test_pag_animatediff.py",
"repo_id": "diffusers",
"token_count": 11060
} | 145 |
# 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/pag/test_pag_sdxl_inpaint.py/0 | {
"file_path": "diffusers/tests/pipelines/pag/test_pag_sdxl_inpaint.py",
"repo_id": "diffusers",
"token_count": 5977
} | 146 |
# 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/stable_diffusion/test_stable_diffusion_inpaint.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion/test_stable_diffusion_inpaint.py",
"repo_id": "diffusers",
"token_count": 21315
} | 147 |
import random
import unittest
import numpy as np
import torch
from transformers import AutoTokenizer, CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer, T5EncoderModel
from diffusers import (
AutoencoderKL,
FlowMatchEulerDiscreteScheduler,
SD3Transformer2DModel,
StableDiffusion3InpaintPipelin... | diffusers/tests/pipelines/stable_diffusion_3/test_pipeline_stable_diffusion_3_inpaint.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_3/test_pipeline_stable_diffusion_3_inpaint.py",
"repo_id": "diffusers",
"token_count": 2764
} | 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/pipelines/stable_diffusion_safe/test_safe_diffusion.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_safe/test_safe_diffusion.py",
"repo_id": "diffusers",
"token_count": 7630
} | 149 |
# 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/test_pipelines.py/0 | {
"file_path": "diffusers/tests/pipelines/test_pipelines.py",
"repo_id": "diffusers",
"token_count": 44339
} | 150 |
import torch
from diffusers import DDPMScheduler
from .test_schedulers import SchedulerCommonTest
class DDPMSchedulerTest(SchedulerCommonTest):
scheduler_classes = (DDPMScheduler,)
def get_scheduler_config(self, **kwargs):
config = {
"num_train_timesteps": 1000,
"beta_start"... | diffusers/tests/schedulers/test_scheduler_ddpm.py/0 | {
"file_path": "diffusers/tests/schedulers/test_scheduler_ddpm.py",
"repo_id": "diffusers",
"token_count": 3860
} | 151 |
import tempfile
from typing import Dict, List, Tuple
import torch
from diffusers import LCMScheduler
from diffusers.utils.testing_utils import torch_device
from .test_schedulers import SchedulerCommonTest
class LCMSchedulerTest(SchedulerCommonTest):
scheduler_classes = (LCMScheduler,)
forward_default_kwarg... | diffusers/tests/schedulers/test_scheduler_lcm.py/0 | {
"file_path": "diffusers/tests/schedulers/test_scheduler_lcm.py",
"repo_id": "diffusers",
"token_count": 5668
} | 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/single_file/test_model_motion_adapter_single_file.py/0 | {
"file_path": "diffusers/tests/single_file/test_model_motion_adapter_single_file.py",
"repo_id": "diffusers",
"token_count": 1629
} | 153 |
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | diffusers/utils/check_copies.py/0 | {
"file_path": "diffusers/utils/check_copies.py",
"repo_id": "diffusers",
"token_count": 3397
} | 154 |
#!/usr/bin/env python3
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unles... | diffusers/utils/print_env.py/0 | {
"file_path": "diffusers/utils/print_env.py",
"repo_id": "diffusers",
"token_count": 511
} | 155 |
# How to contribute to 🤗 LeRobot?
Everyone is welcome to contribute, and we value everybody's contribution. Code
is thus not the only way to help the community. Answering questions, helping
others, reaching out and improving the documentations are immensely valuable to
the community.
It also helps us if you spread t... | lerobot/CONTRIBUTING.md/0 | {
"file_path": "lerobot/CONTRIBUTING.md",
"repo_id": "lerobot",
"token_count": 3370
} | 156 |
# Getting Started with Real-World Robots
This tutorial will guide you through the process of setting up and training a neural network to autonomously control a real robot.
**What You'll Learn:**
1. How to order and assemble your robot.
2. How to connect, configure, and calibrate your robot.
3. How to record and visua... | lerobot/examples/7_get_started_with_real_robot.md/0 | {
"file_path": "lerobot/examples/7_get_started_with_real_robot.md",
"repo_id": "lerobot",
"token_count": 15980
} | 157 |
#!/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/openx_rlds_format.py/0 | {
"file_path": "lerobot/lerobot/common/datasets/push_dataset_to_hub/openx_rlds_format.py",
"repo_id": "lerobot",
"token_count": 4796
} | 158 |
#!/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/optim/factory.py/0 | {
"file_path": "lerobot/lerobot/common/optim/factory.py",
"repo_id": "lerobot",
"token_count": 514
} | 159 |
#!/usr/bin/env python
# Copyright 2025 Physical Intelligence and 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... | lerobot/lerobot/common/policies/pi0/modeling_pi0.py/0 | {
"file_path": "lerobot/lerobot/common/policies/pi0/modeling_pi0.py",
"repo_id": "lerobot",
"token_count": 12328
} | 160 |
import enum
import logging
import math
import time
import traceback
from copy import deepcopy
import numpy as np
import tqdm
from lerobot.common.robot_devices.motors.configs import DynamixelMotorsBusConfig
from lerobot.common.robot_devices.utils import RobotDeviceAlreadyConnectedError, RobotDeviceNotConnectedError
fr... | lerobot/lerobot/common/robot_devices/motors/dynamixel.py/0 | {
"file_path": "lerobot/lerobot/common/robot_devices/motors/dynamixel.py",
"repo_id": "lerobot",
"token_count": 15815
} | 161 |
#!/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/train_utils.py/0 | {
"file_path": "lerobot/lerobot/common/utils/train_utils.py",
"repo_id": "lerobot",
"token_count": 2199
} | 162 |
#!/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/push_pretrained.py/0 | {
"file_path": "lerobot/lerobot/scripts/push_pretrained.py",
"repo_id": "lerobot",
"token_count": 732
} | 163 |
version https://git-lfs.github.com/spec/v1
oid sha256:53172b773d4a78bb3140f10280105c2c4ebcb467f3097579988d42cb87790ab9
size 3687117
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"file_path": "lerobot/tests/data/save_dataset_to_safetensors/lerobot/aloha_sim_insertion_human/frame_251.safetensors",
"repo_id": "lerobot",
"token_count": 63
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"file_path": "lerobot/tests/data/save_image_transforms_to_safetensors/single_transforms.safetensors",
"repo_id": "lerobot",
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"repo_id": "lerobot",
"token_count": 62
} | 166 |
"""Mocked classes and functions from dynamixel_sdk to allow for continuous integration
and testing code logic that requires hardware and devices (e.g. robot arms, cameras)
Warning: These mocked versions are minimalist. They do not exactly mock every behaviors
from the original classes and functions (e.g. return types ... | lerobot/tests/mock_dynamixel_sdk.py/0 | {
"file_path": "lerobot/tests/mock_dynamixel_sdk.py",
"repo_id": "lerobot",
"token_count": 1181
} | 167 |
import pytest
from lerobot.common.utils.logging_utils import AverageMeter, MetricsTracker
@pytest.fixture
def mock_metrics():
return {"loss": AverageMeter("loss", ":.3f"), "accuracy": AverageMeter("accuracy", ":.2f")}
def test_average_meter_initialization():
meter = AverageMeter("loss", ":.2f")
assert ... | lerobot/tests/test_logging_utils.py/0 | {
"file_path": "lerobot/tests/test_logging_utils.py",
"repo_id": "lerobot",
"token_count": 1326
} | 168 |
#!/bin/bash
#SBATCH --ntasks-per-node=1
#SBATCH --gres=gpu:8
#SBATCH --partition=hopper-prod
#SBATCH --output=./logs/%x-%j.out
#SBATCH --err=./logs/%x-%j.err
#SBATCH --requeue
# Specific configuration optimized for the Hugging Face Compute Cluster
# Be ye warned this may not work on other clusters!
module load cuda/12... | open-r1/slurm/evaluate.slurm/0 | {
"file_path": "open-r1/slurm/evaluate.slurm",
"repo_id": "open-r1",
"token_count": 1440
} | 169 |
#!/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... | open-r1/src/open_r1/utils/hub.py/0 | {
"file_path": "open-r1/src/open_r1/utils/hub.py",
"repo_id": "open-r1",
"token_count": 2180
} | 170 |
<!--⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
rendered properly in your Markdown viewer.
-->
# DeepSpeed
[DeepSpeed](https://www.deepspeed.ai/) is a library designed for speed and scale for distributed training of large models with billions ... | peft/docs/source/accelerate/deepspeed.md/0 | {
"file_path": "peft/docs/source/accelerate/deepspeed.md",
"repo_id": "peft",
"token_count": 7354
} | 171 |
<!--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/index.md/0 | {
"file_path": "peft/docs/source/index.md",
"repo_id": "peft",
"token_count": 1162
} | 172 |
<!--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/quicktour.md/0 | {
"file_path": "peft/docs/source/quicktour.md",
"repo_id": "peft",
"token_count": 2384
} | 173 |
import argparse
import os
from typing import Optional
from huggingface_hub import HfFolder, whoami
from transformers import PretrainedConfig
def get_full_repo_name(model_id: str, organization: Optional[str] = None, token: Optional[str] = None):
if token is None:
token = HfFolder.get_token()
if organi... | peft/examples/boft_controlnet/utils/args_loader.py/0 | {
"file_path": "peft/examples/boft_controlnet/utils/args_loader.py",
"repo_id": "peft",
"token_count": 7255
} | 174 |
import gc
import threading
import psutil
import torch
# Converting Bytes to Megabytes
def b2mb(x):
return int(x / 2**20)
# This context manager is used to track the peak memory usage of the process
class TorchTracemalloc:
def __enter__(self):
gc.collect()
torch.cuda.empty_cache()
to... | peft/examples/boft_dreambooth/utils/tracemalloc.py/0 | {
"file_path": "peft/examples/boft_dreambooth/utils/tracemalloc.py",
"repo_id": "peft",
"token_count": 786
} | 175 |
<jupyter_start><jupyter_code>from transformers import AutoModelForSeq2SeqLM
from peft import PeftModel, PeftConfig
import torch
from datasets import load_dataset
import os
from transformers import AutoTokenizer
from torch.utils.data import DataLoader
from transformers import default_data_collator, get_linear_schedule_w... | peft/examples/conditional_generation/peft_lora_seq2seq_accelerate_big_model_inference.ipynb/0 | {
"file_path": "peft/examples/conditional_generation/peft_lora_seq2seq_accelerate_big_model_inference.ipynb",
"repo_id": "peft",
"token_count": 1695
} | 176 |
import os
import torch
from datasets import load_dataset
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
BitsAndBytesConfig,
DataCollatorForLanguageModeling,
Trainer,
TrainingArguments,
)
from peft import LoraConfig, get_peft_model, prepare_model_for_kbit_training
def train_m... | peft/examples/dora_finetuning/dora_finetuning.py/0 | {
"file_path": "peft/examples/dora_finetuning/dora_finetuning.py",
"repo_id": "peft",
"token_count": 3111
} | 177 |
# 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/examples/loftq_finetuning/quantize_save_load.py/0 | {
"file_path": "peft/examples/loftq_finetuning/quantize_save_load.py",
"repo_id": "peft",
"token_count": 2835
} | 178 |
# 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/examples/olora_finetuning/olora_finetuning.py/0 | {
"file_path": "peft/examples/olora_finetuning/olora_finetuning.py",
"repo_id": "peft",
"token_count": 3090
} | 179 |
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
} | 180 |
python train.py \
--seed 100 \
--model_name_or_path "mistralai/Mistral-7B-v0.1" \
--dataset_name "smangrul/ultrachat-10k-chatml" \
--chat_template_format "chatml" \
--add_special_tokens False \
--append_concat_token False \
--splits "train,test" \
--max_seq_len 2048 \
--num_train_epochs 1 \
--logging_steps 5 \
--log_le... | peft/examples/sft/run_unsloth_peft.sh/0 | {
"file_path": "peft/examples/sft/run_unsloth_peft.sh",
"repo_id": "peft",
"token_count": 501
} | 181 |
# 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 applicabl... | peft/setup.py/0 | {
"file_path": "peft/setup.py",
"repo_id": "peft",
"token_count": 1652
} | 182 |
# 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/adalora/bnb.py/0 | {
"file_path": "peft/src/peft/tuners/adalora/bnb.py",
"repo_id": "peft",
"token_count": 2655
} | 183 |
# 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/__init__.py/0 | {
"file_path": "peft/src/peft/tuners/ia3/__init__.py",
"repo_id": "peft",
"token_count": 443
} | 184 |
# 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": 7452
} | 185 |
# 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/poly/model.py/0 | {
"file_path": "peft/src/peft/tuners/poly/model.py",
"repo_id": "peft",
"token_count": 2976
} | 186 |
# 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/layer.py/0 | {
"file_path": "peft/src/peft/tuners/vera/layer.py",
"repo_id": "peft",
"token_count": 5648
} | 187 |
# 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/utils/save_and_load.py/0 | {
"file_path": "peft/src/peft/utils/save_and_load.py",
"repo_id": "peft",
"token_count": 12021
} | 188 |
# 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 a... | peft/tests/test_gpu_examples.py/0 | {
"file_path": "peft/tests/test_gpu_examples.py",
"repo_id": "peft",
"token_count": 83623
} | 189 |
#!/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_tuners_utils.py/0 | {
"file_path": "peft/tests/test_tuners_utils.py",
"repo_id": "peft",
"token_count": 27556
} | 190 |
include timm/models/_pruned/*.txt
include timm/data/_info/*.txt
include timm/data/_info/*.json
| pytorch-image-models/MANIFEST.in/0 | {
"file_path": "pytorch-image-models/MANIFEST.in",
"repo_id": "pytorch-image-models",
"token_count": 34
} | 191 |
# Installation
Before you start, you'll need to setup your environment and install the appropriate packages. `timm` is tested on **Python 3+**.
## Virtual Environment
You should install `timm` in a [virtual environment](https://docs.python.org/3/library/venv.html) to keep things tidy and avoid dependency conflicts.
... | pytorch-image-models/hfdocs/source/installation.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/installation.mdx",
"repo_id": "pytorch-image-models",
"token_count": 623
} | 192 |
# MnasNet
**MnasNet** is a type of convolutional neural network optimized for mobile devices that is discovered through mobile neural architecture search, which explicitly incorporates model latency into the main objective so that the search can identify a model that achieves a good trade-off between accuracy and late... | pytorch-image-models/hfdocs/source/models/mnasnet.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/mnasnet.mdx",
"repo_id": "pytorch-image-models",
"token_count": 2103
} | 193 |
# SelecSLS
**SelecSLS** uses novel selective long and short range skip connections to improve the information flow allowing for a drastically faster network without compromising accuracy.
## How do I use this model on an image?
To load a pretrained model:
```py
>>> import timm
>>> model = timm.create_model('selecsl... | pytorch-image-models/hfdocs/source/models/selecsls.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/selecsls.mdx",
"repo_id": "pytorch-image-models",
"token_count": 2422
} | 194 |
from .reader_factory import create_reader
from .img_extensions import *
| pytorch-image-models/timm/data/readers/__init__.py/0 | {
"file_path": "pytorch-image-models/timm/data/readers/__init__.py",
"repo_id": "pytorch-image-models",
"token_count": 20
} | 195 |
""" Transforms Factory
Factory methods for building image transforms for use with TIMM (PyTorch Image Models)
Hacked together by / Copyright 2019, Ross Wightman
"""
import math
from typing import Optional, Tuple, Union
import torch
from torchvision import transforms
from timm.data.constants import IMAGENET_DEFAULT_M... | pytorch-image-models/timm/data/transforms_factory.py/0 | {
"file_path": "pytorch-image-models/timm/data/transforms_factory.py",
"repo_id": "pytorch-image-models",
"token_count": 8545
} | 196 |
""" Activation Factory
Hacked together by / Copyright 2020 Ross Wightman
"""
from typing import Union, Callable, Type
from .activations import *
from .activations_me import *
from .config import is_exportable, is_scriptable
# PyTorch has an optimized, native 'silu' (aka 'swish') operator as of PyTorch 1.7.
# Also har... | pytorch-image-models/timm/layers/create_act.py/0 | {
"file_path": "pytorch-image-models/timm/layers/create_act.py",
"repo_id": "pytorch-image-models",
"token_count": 1969
} | 197 |
""" Layer/Module Helpers
Hacked together by / Copyright 2020 Ross Wightman
"""
from itertools import repeat
import collections.abc
# From PyTorch internals
def _ntuple(n):
def parse(x):
if isinstance(x, collections.abc.Iterable) and not isinstance(x, str):
return tuple(x)
return tuple... | pytorch-image-models/timm/layers/helpers.py/0 | {
"file_path": "pytorch-image-models/timm/layers/helpers.py",
"repo_id": "pytorch-image-models",
"token_count": 462
} | 198 |
""" Image to Patch Embedding using Conv2d
A convolution based approach to patchifying a 2D image w/ embedding projection.
Based on code in:
* https://github.com/google-research/vision_transformer
* https://github.com/google-research/big_vision/tree/main/big_vision
Hacked together by / Copyright 2020 Ross Wightma... | pytorch-image-models/timm/layers/patch_embed.py/0 | {
"file_path": "pytorch-image-models/timm/layers/patch_embed.py",
"repo_id": "pytorch-image-models",
"token_count": 5614
} | 199 |
from .asymmetric_loss import AsymmetricLossMultiLabel, AsymmetricLossSingleLabel
from .binary_cross_entropy import BinaryCrossEntropy
from .cross_entropy import LabelSmoothingCrossEntropy, SoftTargetCrossEntropy
from .jsd import JsdCrossEntropy
| pytorch-image-models/timm/loss/__init__.py/0 | {
"file_path": "pytorch-image-models/timm/loss/__init__.py",
"repo_id": "pytorch-image-models",
"token_count": 70
} | 200 |
import os
import pkgutil
from copy import deepcopy
from torch import nn as nn
from timm.layers import Conv2dSame, BatchNormAct2d, Linear
__all__ = ['extract_layer', 'set_layer', 'adapt_model_from_string', 'adapt_model_from_file']
def extract_layer(model, layer):
layer = layer.split('.')
module = model
... | pytorch-image-models/timm/models/_prune.py/0 | {
"file_path": "pytorch-image-models/timm/models/_prune.py",
"repo_id": "pytorch-image-models",
"token_count": 2096
} | 201 |
"""PyTorch CspNet
A PyTorch implementation of Cross Stage Partial Networks including:
* CSPResNet50
* CSPResNeXt50
* CSPDarkNet53
* and DarkNet53 for good measure
Based on paper `CSPNet: A New Backbone that can Enhance Learning Capability of CNN` - https://arxiv.org/abs/1911.11929
Reference impl via darknet cfg file... | pytorch-image-models/timm/models/cspnet.py/0 | {
"file_path": "pytorch-image-models/timm/models/cspnet.py",
"repo_id": "pytorch-image-models",
"token_count": 20103
} | 202 |
""" FocalNet
As described in `Focal Modulation Networks` - https://arxiv.org/abs/2203.11926
Significant modifications and refactoring from the original impl at https://github.com/microsoft/FocalNet
This impl is/has:
* fully convolutional, NCHW tensor layout throughout, seemed to have minimal performance impact but m... | pytorch-image-models/timm/models/focalnet.py/0 | {
"file_path": "pytorch-image-models/timm/models/focalnet.py",
"repo_id": "pytorch-image-models",
"token_count": 11648
} | 203 |
""" LeViT
Paper: `LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference`
- https://arxiv.org/abs/2104.01136
@article{graham2021levit,
title={LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference},
author={Benjamin Graham and Alaaeldin El-Nouby and Hugo Touvron and Pierre Stoc... | pytorch-image-models/timm/models/levit.py/0 | {
"file_path": "pytorch-image-models/timm/models/levit.py",
"repo_id": "pytorch-image-models",
"token_count": 17159
} | 204 |
""" TinyViT
Paper: `TinyViT: Fast Pretraining Distillation for Small Vision Transformers`
- https://arxiv.org/abs/2207.10666
Adapted from official impl at https://github.com/microsoft/Cream/tree/main/TinyViT
"""
__all__ = ['TinyVit']
import itertools
from functools import partial
from typing import Dict, Option... | pytorch-image-models/timm/models/tiny_vit.py/0 | {
"file_path": "pytorch-image-models/timm/models/tiny_vit.py",
"repo_id": "pytorch-image-models",
"token_count": 12466
} | 205 |
from .adabelief import AdaBelief
from .adafactor import Adafactor
from .adafactor_bv import AdafactorBigVision
from .adahessian import Adahessian
from .adamp import AdamP
from .adamw import AdamWLegacy
from .adan import Adan
from .adopt import Adopt
from .lamb import Lamb
from .laprop import LaProp
from .lars import La... | pytorch-image-models/timm/optim/__init__.py/0 | {
"file_path": "pytorch-image-models/timm/optim/__init__.py",
"repo_id": "pytorch-image-models",
"token_count": 385
} | 206 |
""" Lion Optimizer
Paper: `Symbolic Discovery of Optimization Algorithms` - https://arxiv.org/abs/2302.06675
Original Impl: https://github.com/google/automl/tree/master/lion
"""
# Copyright 2023 Google Research. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use t... | pytorch-image-models/timm/optim/lion.py/0 | {
"file_path": "pytorch-image-models/timm/optim/lion.py",
"repo_id": "pytorch-image-models",
"token_count": 3736
} | 207 |
""" Plateau Scheduler
Adapts PyTorch plateau scheduler and allows application of noise, warmup.
Hacked together by / Copyright 2020 Ross Wightman
"""
import torch
from typing import List
from .scheduler import Scheduler
class PlateauLRScheduler(Scheduler):
"""Decay the LR by a factor every time the validation ... | pytorch-image-models/timm/scheduler/plateau_lr.py/0 | {
"file_path": "pytorch-image-models/timm/scheduler/plateau_lr.py",
"repo_id": "pytorch-image-models",
"token_count": 1807
} | 208 |
""" Eval metrics and related
Hacked together by / Copyright 2020 Ross Wightman
"""
class AverageMeter:
"""Computes and stores the average and current value"""
def __init__(self):
self.reset()
def reset(self):
self.val = 0
self.avg = 0
self.sum = 0
self.count = 0
... | pytorch-image-models/timm/utils/metrics.py/0 | {
"file_path": "pytorch-image-models/timm/utils/metrics.py",
"repo_id": "pytorch-image-models",
"token_count": 374
} | 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 applicable law or ... | smolagents/CONTRIBUTING.md/0 | {
"file_path": "smolagents/CONTRIBUTING.md",
"repo_id": "smolagents",
"token_count": 1331
} | 210 |
<!--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 applicable law or agreed... | smolagents/docs/source/en/reference/agents.mdx/0 | {
"file_path": "smolagents/docs/source/en/reference/agents.mdx",
"repo_id": "smolagents",
"token_count": 650
} | 211 |
<!--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 applicable law or agreed... | smolagents/docs/source/hi/index.mdx/0 | {
"file_path": "smolagents/docs/source/hi/index.mdx",
"repo_id": "smolagents",
"token_count": 2912
} | 212 |
<!--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 applicable law or agree... | smolagents/docs/source/zh/reference/agents.mdx/0 | {
"file_path": "smolagents/docs/source/zh/reference/agents.mdx",
"repo_id": "smolagents",
"token_count": 1119
} | 213 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/L... | smolagents/src/smolagents/utils.py/0 | {
"file_path": "smolagents/src/smolagents/utils.py",
"repo_id": "smolagents",
"token_count": 5667
} | 214 |
# 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_monitoring.py/0 | {
"file_path": "smolagents/tests/test_monitoring.py",
"repo_id": "smolagents",
"token_count": 2645
} | 215 |
# Rust builder
FROM lukemathwalker/cargo-chef:latest-rust-1.84.0 AS chef
WORKDIR /usr/src
ARG CARGO_REGISTRIES_CRATES_IO_PROTOCOL=sparse
FROM chef AS planner
COPY Cargo.lock Cargo.lock
COPY Cargo.toml Cargo.toml
COPY rust-toolchain.toml rust-toolchain.toml
COPY proto proto
COPY benchmark benchmark
COPY router router
... | text-generation-inference/Dockerfile_amd/0 | {
"file_path": "text-generation-inference/Dockerfile_amd",
"repo_id": "text-generation-inference",
"token_count": 5134
} | 216 |
# Initialize base variables
SHELL := /bin/bash
pkg_name := text_generation_server
BUILDDIR ?= $(CURDIR)/build
VERSION ?= 0.0.1
mkfile_path := $(abspath $(lastword $(MAKEFILE_LIST)))
mkfile_dir := $(dir $(mkfile_path))
pkg_dir := $(BUILDDIR)/$(pkg_name)
py_version := $(subst -,.,${VERSION})
pkg_dist := ${BUILDDIR}/dist/... | text-generation-inference/backends/neuron/server/Makefile/0 | {
"file_path": "text-generation-inference/backends/neuron/server/Makefile",
"repo_id": "text-generation-inference",
"token_count": 1003
} | 217 |
import pytest
import torch
from text_generation_server.generator import Slot
from text_generation_server.pb.generate_pb2 import Request
from transformers import AutoTokenizer, GenerationConfig
TOKENIZERS = ["NousResearch/Llama-2-7b-hf", "gpt2"]
@pytest.fixture(params=TOKENIZERS)
def tokenizer(request):
t = Auto... | text-generation-inference/backends/neuron/tests/server/test_generator_slot.py/0 | {
"file_path": "text-generation-inference/backends/neuron/tests/server/test_generator_slot.py",
"repo_id": "text-generation-inference",
"token_count": 891
} | 218 |
#ifndef TGI_HARDWARE_CUDA
#define TGI_HARDWARE_CUDA
#include <cstdint>
#include <optional>
#include <nvml.h>
namespace huggingface::tgi::hardware::cuda {
static constexpr auto VOLTA = std::make_tuple(7u, 0u);
static constexpr auto TURING = std::make_tuple(7u, 5u);
static constexpr auto AMPERE = std::make_... | text-generation-inference/backends/trtllm/csrc/hardware.hpp/0 | {
"file_path": "text-generation-inference/backends/trtllm/csrc/hardware.hpp",
"repo_id": "text-generation-inference",
"token_count": 1383
} | 219 |
mod backend;
mod client;
mod queue;
use crate::client::{ClientError, ShardedClient};
pub(crate) use backend::BackendV2;
use serde::Serialize;
use thiserror::Error;
use utoipa::ToSchema;
#[derive(Clone, Debug, Serialize, ToSchema)]
pub struct BackendInfo {
/// Mandatory
#[schema(example = "cuda")]
pub mode... | text-generation-inference/backends/v2/src/lib.rs/0 | {
"file_path": "text-generation-inference/backends/v2/src/lib.rs",
"repo_id": "text-generation-inference",
"token_count": 2252
} | 220 |
<div align="center">
# Text Generation Inference benchmarking tool
</div>
A lightweight benchmarking tool based inspired by [oha](https://github.com/hatoo/oha)
and powered by [Ratatui](https://github.com/ratatui/ratatui).
## Install
```shell
make install-benchmark
```
## Run... | text-generation-inference/benchmark/README.md/0 | {
"file_path": "text-generation-inference/benchmark/README.md",
"repo_id": "text-generation-inference",
"token_count": 184
} | 221 |
# import pytest
#
# from text_generation import (
# InferenceAPIClient,
# InferenceAPIAsyncClient,
# Client,
# AsyncClient,
# )
# from text_generation.errors import NotSupportedError, NotFoundError
# from text_generation.inference_api import check_model_support, deployed_models
#
#
# def test_check_mode... | text-generation-inference/clients/python/tests/test_inference_api.py/0 | {
"file_path": "text-generation-inference/clients/python/tests/test_inference_api.py",
"repo_id": "text-generation-inference",
"token_count": 477
} | 222 |
# Consuming Text Generation Inference
There are many ways to consume Text Generation Inference (TGI) server in your applications. After launching the server, you can use the [Messages API](https://huggingface.co/docs/text-generation-inference/en/messages_api) `/v1/chat/completions` route and make a `POST` request to g... | text-generation-inference/docs/source/basic_tutorials/consuming_tgi.md/0 | {
"file_path": "text-generation-inference/docs/source/basic_tutorials/consuming_tgi.md",
"repo_id": "text-generation-inference",
"token_count": 2308
} | 223 |
# Quantization
TGI offers many quantization schemes to run LLMs effectively and fast based on your use-case. TGI supports GPTQ, AWQ, bits-and-bytes, EETQ, Marlin, EXL2 and fp8 quantization.
To leverage GPTQ, AWQ, Marlin and EXL2 quants, you must provide pre-quantized weights. Whereas for bits-and-bytes, EETQ and fp8,... | text-generation-inference/docs/source/conceptual/quantization.md/0 | {
"file_path": "text-generation-inference/docs/source/conceptual/quantization.md",
"repo_id": "text-generation-inference",
"token_count": 1442
} | 224 |
# Text-generation-launcher arguments
<!-- WRAP CODE BLOCKS -->
```shell
Text Generation Launcher
Usage: text-generation-launcher [OPTIONS]
Options:
```
## MODEL_ID
```shell
--model-id <MODEL_ID>
The name of the model to load. Can be a MODEL_ID as listed on <https://hf.co/models> like `gpt2` or `Open... | text-generation-inference/docs/source/reference/launcher.md/0 | {
"file_path": "text-generation-inference/docs/source/reference/launcher.md",
"repo_id": "text-generation-inference",
"token_count": 7683
} | 225 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [],
"seed": 0,
"tokens": [
{
"id": 836,
"logprob": -1.265625,
"special": false,
"text": " i"
},
{
"id": 18,
"logprob": -0.11... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_falcon/test_flash_falcon_all_params.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_falcon/test_flash_falcon_all_params.json",
"repo_id": "text-generation-inference",
"token_count": 905
} | 226 |
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