text stringlengths 5 631k | id stringlengths 14 178 | metadata dict | __index_level_0__ int64 0 647 |
|---|---|---|---|
import gc
import unittest
import torch
from diffusers import (
StableDiffusionImg2ImgPipeline,
)
from diffusers.utils import load_image
from diffusers.utils.testing_utils import (
backend_empty_cache,
enable_full_determinism,
require_torch_accelerator,
slow,
torch_device,
)
from .single_file_... | diffusers/tests/single_file/test_stable_diffusion_img2img_single_file.py/0 | {
"file_path": "diffusers/tests/single_file/test_stable_diffusion_img2img_single_file.py",
"repo_id": "diffusers",
"token_count": 1604
} | 203 |
# 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_table.py/0 | {
"file_path": "diffusers/utils/check_table.py",
"repo_id": "diffusers",
"token_count": 3011
} | 204 |
# 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/update_metadata.py/0 | {
"file_path": "diffusers/utils/update_metadata.py",
"repo_id": "diffusers",
"token_count": 1690
} | 205 |
#!/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/benchmarks/video/capture_camera_feed.py/0 | {
"file_path": "lerobot/benchmarks/video/capture_camera_feed.py",
"repo_id": "lerobot",
"token_count": 1246
} | 206 |
<div class="flex justify-center">
<a target="_blank" href="https://huggingface.co/lerobot">
<img
alt="HuggingFace Expert Acceleration Program"
src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/lerobot/lerobot-logo-thumbnail.png"
style="width: 100%"
></img>
... | lerobot/docs/source/index.mdx/0 | {
"file_path": "lerobot/docs/source/index.mdx",
"repo_id": "lerobot",
"token_count": 337
} | 207 |
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | lerobot/examples/3_train_policy.py/0 | {
"file_path": "lerobot/examples/3_train_policy.py",
"repo_id": "lerobot",
"token_count": 1810
} | 208 |
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | lerobot/src/lerobot/cameras/realsense/camera_realsense.py/0 | {
"file_path": "lerobot/src/lerobot/cameras/realsense/camera_realsense.py",
"repo_id": "lerobot",
"token_count": 9038
} | 209 |
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... | lerobot/src/lerobot/datasets/online_buffer.py/0 | {
"file_path": "lerobot/src/lerobot/datasets/online_buffer.py",
"repo_id": "lerobot",
"token_count": 7375
} | 210 |
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | lerobot/src/lerobot/errors.py/0 | {
"file_path": "lerobot/src/lerobot/errors.py",
"repo_id": "lerobot",
"token_count": 459
} | 211 |
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... | lerobot/src/lerobot/optim/schedulers.py/0 | {
"file_path": "lerobot/src/lerobot/optim/schedulers.py",
"repo_id": "lerobot",
"token_count": 1831
} | 212 |
#!/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/src/lerobot/policies/pi0/modeling_pi0.py/0 | {
"file_path": "lerobot/src/lerobot/policies/pi0/modeling_pi0.py",
"repo_id": "lerobot",
"token_count": 14362
} | 213 |
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... | lerobot/src/lerobot/policies/utils.py/0 | {
"file_path": "lerobot/src/lerobot/policies/utils.py",
"repo_id": "lerobot",
"token_count": 1049
} | 214 |
#!/usr/bin/env python
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... | lerobot/src/lerobot/robots/bi_so100_follower/config_bi_so100_follower.py/0 | {
"file_path": "lerobot/src/lerobot/robots/bi_so100_follower/config_bi_so100_follower.py",
"repo_id": "lerobot",
"token_count": 415
} | 215 |
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... | lerobot/src/lerobot/robots/lekiwi/lekiwi_host.py/0 | {
"file_path": "lerobot/src/lerobot/robots/lekiwi/lekiwi_host.py",
"repo_id": "lerobot",
"token_count": 1993
} | 216 |
This tutorial explains how to use [Aloha and Aloha 2 stationary](https://www.trossenrobotics.com/aloha-stationary) with LeRobot.
## Setup
Follow the [documentation from Trossen Robotics](https://docs.trossenrobotics.com/aloha_docs/2.0/getting_started/stationary/hardware_setup.html) for setting up the hardware and plu... | lerobot/src/lerobot/robots/viperx/README.md/0 | {
"file_path": "lerobot/src/lerobot/robots/viperx/README.md",
"repo_id": "lerobot",
"token_count": 2779
} | 217 |
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | lerobot/src/lerobot/scripts/server/policy_server.py/0 | {
"file_path": "lerobot/src/lerobot/scripts/server/policy_server.py",
"repo_id": "lerobot",
"token_count": 6373
} | 218 |
# !/usr/bin/env python
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... | lerobot/src/lerobot/teleoperators/gamepad/teleop_gamepad.py/0 | {
"file_path": "lerobot/src/lerobot/teleoperators/gamepad/teleop_gamepad.py",
"repo_id": "lerobot",
"token_count": 1694
} | 219 |
#!/usr/bin/env python
# Copyright 2025 The HuggingFace Inc. team.
# All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | lerobot/src/lerobot/transport/utils.py/0 | {
"file_path": "lerobot/src/lerobot/transport/utils.py",
"repo_id": "lerobot",
"token_count": 2592
} | 220 |
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | lerobot/src/lerobot/utils/visualization_utils.py/0 | {
"file_path": "lerobot/src/lerobot/utils/visualization_utils.py",
"repo_id": "lerobot",
"token_count": 759
} | 221 |
#!/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/datasets/test_online_buffer.py/0 | {
"file_path": "lerobot/tests/datasets/test_online_buffer.py",
"repo_id": "lerobot",
"token_count": 4677
} | 222 |
#!/usr/bin/env python
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... | lerobot/tests/rl/test_actor_learner.py/0 | {
"file_path": "lerobot/tests/rl/test_actor_learner.py",
"repo_id": "lerobot",
"token_count": 3738
} | 223 |
# 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": 13809
} | 224 |
## Serving DeepSeek-R1 on 2x8 H100 SLURM nodes with SGLang
1. Set up the environment (adjust for your cuda version):
```bash
conda create -n sglang124 python=3.11
conda activate sglang124
pip install torch==2.5.1 --index-url https://download.pytorch.org/whl/cu124
pip install sgl-kernel --force-reinstall --no-deps
p... | open-r1/slurm/README.md/0 | {
"file_path": "open-r1/slurm/README.md",
"repo_id": "open-r1",
"token_count": 390
} | 225 |
# Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | open-r1/src/open_r1/grpo.py/0 | {
"file_path": "open-r1/src/open_r1/grpo.py",
"repo_id": "open-r1",
"token_count": 2424
} | 226 |
#!/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": 2201
} | 227 |
<!--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/low_level_api.md/0 | {
"file_path": "peft/docs/source/developer_guides/low_level_api.md",
"repo_id": "peft",
"token_count": 2073
} | 228 |
<!--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/tutorial/peft_integrations.md/0 | {
"file_path": "peft/docs/source/tutorial/peft_integrations.md",
"repo_id": "peft",
"token_count": 2255
} | 229 |
<jupyter_start><jupyter_text>Peft model evaluation using [lm-eval-harness](https://github.com/EleutherAI/lm-evaluation-harness)In this notebook, we are going to learn how to evaluate the finetuned lora model on the hellaswag task using lm-eval-harness toolkit.<jupyter_code># Install LM-Eval
!pip install -q datasets eva... | peft/examples/evaluation/lora-lm-eval.ipynb/0 | {
"file_path": "peft/examples/evaluation/lora-lm-eval.ipynb",
"repo_id": "peft",
"token_count": 2454
} | 230 |
<jupyter_start><jupyter_text>IntroductionIn this notebook, we will learn how to use [LoRA](https://huggingface.co/papers/2106.09685) from 🤗 PEFT to fine-tune an image classification model by ONLY using **0.77%** of the original trainable parameters of the model. LoRA adds low-rank "update matrices" to certain blocks i... | peft/examples/image_classification/image_classification_peft_lora.ipynb/0 | {
"file_path": "peft/examples/image_classification/image_classification_peft_lora.ipynb",
"repo_id": "peft",
"token_count": 6375
} | 231 |
import argparse
import os
import torch
from diffusers import UNet2DConditionModel
from safetensors.torch import save_file
from transformers import CLIPTextModel
from peft import PeftModel, get_peft_model_state_dict
# Default kohya_ss LoRA replacement modules
# https://github.com/kohya-ss/sd-scripts/blob/c924c47f374... | peft/examples/lora_dreambooth/convert_peft_sd_lora_to_kohya_ss.py/0 | {
"file_path": "peft/examples/lora_dreambooth/convert_peft_sd_lora_to_kohya_ss.py",
"repo_id": "peft",
"token_count": 1632
} | 232 |
# 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": 3088
} | 233 |
"""
This exampe demonstrates loading of LoRA adapter (via PEFT) into an FP8 INC-quantized FLUX model.
More info on Intel Neural Compressor (INC) FP8 quantization is available at:
https://github.com/intel/neural-compressor/tree/master/examples/helloworld/fp8_example
Requirements:
pip install optimum-habana sentencepie... | peft/examples/stable_diffusion/inc_flux_lora_hpu.py/0 | {
"file_path": "peft/examples/stable_diffusion/inc_flux_lora_hpu.py",
"repo_id": "peft",
"token_count": 815
} | 234 |
{
"auto_mapping": null,
"base_model_name_or_path": null,
"bias": "none",
"exclude_modules": null,
"inference_mode": false,
"init_weights": "bat",
"layers_pattern": null,
"layers_to_transform": null,
"modules_to_save": null,
"peft_type": "BONE",
"r": 64,
"revision": null,
"target_modules": [
... | peft/method_comparison/MetaMathQA/experiments/bone/llama-3.2-3B-bat/adapter_config.json/0 | {
"file_path": "peft/method_comparison/MetaMathQA/experiments/bone/llama-3.2-3B-bat/adapter_config.json",
"repo_id": "peft",
"token_count": 166
} | 235 |
{
"optimizer_kwargs": {
"lr": 0.2
}
}
| peft/method_comparison/MetaMathQA/experiments/trainable_tokens/llama-3.2-3B-sos+eos/training_params.json/0 | {
"file_path": "peft/method_comparison/MetaMathQA/experiments/trainable_tokens/llama-3.2-3B-sos+eos/training_params.json",
"repo_id": "peft",
"token_count": 27
} | 236 |
# Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | peft/method_comparison/text_generation_benchmark/data.py/0 | {
"file_path": "peft/method_comparison/text_generation_benchmark/data.py",
"repo_id": "peft",
"token_count": 1299
} | 237 |
# 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": 1655
} | 238 |
# 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/__init__.py/0 | {
"file_path": "peft/src/peft/tuners/adalora/__init__.py",
"repo_id": "peft",
"token_count": 498
} | 239 |
# 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/boft/layer.py/0 | {
"file_path": "peft/src/peft/tuners/boft/layer.py",
"repo_id": "peft",
"token_count": 20142
} | 240 |
# Copyright 2024-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | peft/src/peft/tuners/fourierft/layer.py/0 | {
"file_path": "peft/src/peft/tuners/fourierft/layer.py",
"repo_id": "peft",
"token_count": 3663
} | 241 |
# 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/loha/config.py/0 | {
"file_path": "peft/src/peft/tuners/loha/config.py",
"repo_id": "peft",
"token_count": 2674
} | 242 |
# 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/gptq.py/0 | {
"file_path": "peft/src/peft/tuners/lora/gptq.py",
"repo_id": "peft",
"token_count": 2419
} | 243 |
# 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/multitask_prompt_tuning/config.py/0 | {
"file_path": "peft/src/peft/tuners/multitask_prompt_tuning/config.py",
"repo_id": "peft",
"token_count": 899
} | 244 |
# Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | peft/src/peft/tuners/road/__init__.py/0 | {
"file_path": "peft/src/peft/tuners/road/__init__.py",
"repo_id": "peft",
"token_count": 464
} | 245 |
# Copyright 2024-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | peft/src/peft/tuners/vblora/config.py/0 | {
"file_path": "peft/src/peft/tuners/vblora/config.py",
"repo_id": "peft",
"token_count": 3932
} | 246 |
# 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/incremental_pca.py/0 | {
"file_path": "peft/src/peft/utils/incremental_pca.py",
"repo_id": "peft",
"token_count": 6134
} | 247 |
import torch
from peft.tuners._buffer_dict import BufferDict
class TestBufferDict:
def test_init_from_dict_works(self):
bd = BufferDict(
{
"default": torch.randn(10, 2),
}
)
def test_update_from_other_bufferdict(self):
default_tensor = torch.ra... | peft/tests/test_bufferdict.py/0 | {
"file_path": "peft/tests/test_bufferdict.py",
"repo_id": "peft",
"token_count": 740
} | 248 |
# Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | peft/tests/test_lora_variants.py/0 | {
"file_path": "peft/tests/test_lora_variants.py",
"repo_id": "peft",
"token_count": 2196
} | 249 |
#!/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": 38830
} | 250 |
*This guideline is very much a work-in-progress.*
Contributions to `timm` for code, documentation, tests are more than welcome!
There haven't been any formal guidelines to date so please bear with me, and feel free to add to this guide.
# Coding style
Code linting and auto-format (black) are not currently in place ... | pytorch-image-models/CONTRIBUTING.md/0 | {
"file_path": "pytorch-image-models/CONTRIBUTING.md",
"repo_id": "pytorch-image-models",
"token_count": 1223
} | 251 |
# Sharing and Loading Models From the Hugging Face Hub
The `timm` library has a built-in integration with the Hugging Face Hub, making it easy to share and load models from the 🤗 Hub.
In this short guide, we'll see how to:
1. Share a `timm` model on the Hub
2. How to load that model back from the Hub
## Authent... | pytorch-image-models/hfdocs/source/hf_hub.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/hf_hub.mdx",
"repo_id": "pytorch-image-models",
"token_count": 593
} | 252 |
# # Ensemble Adversarial Inception ResNet v2
**Inception-ResNet-v2** is a convolutional neural architecture that builds on the Inception family of architectures but incorporates [residual connections](https://paperswithcode.com/method/residual-connection) (replacing the filter concatenation stage of the Inception arch... | pytorch-image-models/hfdocs/source/models/ensemble-adversarial.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/ensemble-adversarial.mdx",
"repo_id": "pytorch-image-models",
"token_count": 2212
} | 253 |
# RexNet
**Rank Expansion Networks** (ReXNets) follow a set of new design principles for designing bottlenecks in image classification models. Authors refine each layer by 1) expanding the input channel size of the convolution layer and 2) replacing the [ReLU6s](https://www.paperswithcode.com/method/relu6).
## How do... | pytorch-image-models/hfdocs/source/models/rexnet.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/rexnet.mdx",
"repo_id": "pytorch-image-models",
"token_count": 3087
} | 254 |
# TResNet
A **TResNet** is a variant on a [ResNet](https://paperswithcode.com/method/resnet) that aim to boost accuracy while maintaining GPU training and inference efficiency. They contain several design tricks including a SpaceToDepth stem, [Anti-Alias downsampling](https://paperswithcode.com/method/anti-alias-down... | pytorch-image-models/hfdocs/source/models/tresnet.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/tresnet.mdx",
"repo_id": "pytorch-image-models",
"token_count": 4203
} | 255 |
import numpy as np
import pandas as pd
results = {
'results-imagenet.csv': [
'results-imagenet-real.csv',
'results-imagenetv2-matched-frequency.csv',
'results-sketch.csv'
],
'results-imagenet-a-clean.csv': [
'results-imagenet-a.csv',
],
'results-imagenet-r-clean.csv... | pytorch-image-models/results/generate_csv_results.py/0 | {
"file_path": "pytorch-image-models/results/generate_csv_results.py",
"repo_id": "pytorch-image-models",
"token_count": 1453
} | 256 |
from .version import __version__ as __version__
from .layers import (
is_scriptable as is_scriptable,
is_exportable as is_exportable,
set_scriptable as set_scriptable,
set_exportable as set_exportable,
)
from .models import (
create_model as create_model,
list_models as list_models,
list_pre... | pytorch-image-models/timm/__init__.py/0 | {
"file_path": "pytorch-image-models/timm/__init__.py",
"repo_id": "pytorch-image-models",
"token_count": 219
} | 257 |
""" Mixup and Cutmix
Papers:
mixup: Beyond Empirical Risk Minimization (https://arxiv.org/abs/1710.09412)
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features (https://arxiv.org/abs/1905.04899)
Code Reference:
CutMix: https://github.com/clovaai/CutMix-PyTorch
Hacked together by / Co... | pytorch-image-models/timm/data/mixup.py/0 | {
"file_path": "pytorch-image-models/timm/data/mixup.py",
"repo_id": "pytorch-image-models",
"token_count": 8184
} | 258 |
""" A dataset reader that reads single tarfile based datasets
This reader can read datasets consisting if a single tarfile containing images.
I am planning to deprecated it in favour of ParerImageInTar.
Hacked together by / Copyright 2020 Ross Wightman
"""
import os
import tarfile
from timm.utils.misc import natural... | pytorch-image-models/timm/data/readers/reader_image_tar.py/0 | {
"file_path": "pytorch-image-models/timm/data/readers/reader_image_tar.py",
"repo_id": "pytorch-image-models",
"token_count": 1071
} | 259 |
""" Attention Pool 2D
Implementations of 2D spatial feature pooling using multi-head attention instead of average pool.
Based on idea in CLIP by OpenAI, licensed Apache 2.0
https://github.com/openai/CLIP/blob/3b473b0e682c091a9e53623eebc1ca1657385717/clip/model.py
Hacked together by / Copyright 2021 Ross Wightman
"""... | pytorch-image-models/timm/layers/attention_pool2d.py/0 | {
"file_path": "pytorch-image-models/timm/layers/attention_pool2d.py",
"repo_id": "pytorch-image-models",
"token_count": 5737
} | 260 |
""" EvoNorm in PyTorch
Based on `Evolving Normalization-Activation Layers` - https://arxiv.org/abs/2004.02967
@inproceedings{NEURIPS2020,
author = {Liu, Hanxiao and Brock, Andy and Simonyan, Karen and Le, Quoc},
booktitle = {Advances in Neural Information Processing Systems},
editor = {H. Larochelle and M. Ranzato ... | pytorch-image-models/timm/layers/evo_norm.py/0 | {
"file_path": "pytorch-image-models/timm/layers/evo_norm.py",
"repo_id": "pytorch-image-models",
"token_count": 6684
} | 261 |
""" Median Pool
Hacked together by / Copyright 2020 Ross Wightman
"""
import torch.nn as nn
import torch.nn.functional as F
from .helpers import to_2tuple, to_4tuple
class MedianPool2d(nn.Module):
""" Median pool (usable as median filter when stride=1) module.
Args:
kernel_size: size of pooling kern... | pytorch-image-models/timm/layers/median_pool.py/0 | {
"file_path": "pytorch-image-models/timm/layers/median_pool.py",
"repo_id": "pytorch-image-models",
"token_count": 883
} | 262 |
""" Depthwise Separable Conv Modules
Basic DWS convs. Other variations of DWS exist with batch norm or activations between the
DW and PW convs such as the Depthwise modules in MobileNetV2 / EfficientNet and Xception.
Hacked together by / Copyright 2020 Ross Wightman
"""
from torch import nn as nn
from .create_conv2d... | pytorch-image-models/timm/layers/separable_conv.py/0 | {
"file_path": "pytorch-image-models/timm/layers/separable_conv.py",
"repo_id": "pytorch-image-models",
"token_count": 1138
} | 263 |
import dataclasses
import logging
import os
from copy import deepcopy
from pathlib import Path
from typing import Any, Callable, Dict, List, Optional, Tuple, Type, TypeVar, Union
from torch import nn as nn
from torch.hub import load_state_dict_from_url
from timm.models._features import FeatureListNet, FeatureDictNet,... | pytorch-image-models/timm/models/_builder.py/0 | {
"file_path": "pytorch-image-models/timm/models/_builder.py",
"repo_id": "pytorch-image-models",
"token_count": 9114
} | 264 |
""" Model Registry
Hacked together by / Copyright 2020 Ross Wightman
"""
import fnmatch
import re
import sys
import warnings
from collections import defaultdict, deque
from copy import deepcopy
from dataclasses import replace
from typing import Any, Callable, Dict, Iterable, List, Optional, Set, Sequence, Union, Tuple... | pytorch-image-models/timm/models/_registry.py/0 | {
"file_path": "pytorch-image-models/timm/models/_registry.py",
"repo_id": "pytorch-image-models",
"token_count": 5725
} | 265 |
""" EdgeNeXt
Paper: `EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications`
- https://arxiv.org/abs/2206.10589
Original code and weights from https://github.com/mmaaz60/EdgeNeXt
Modifications and additions for timm by / Copyright 2022, Ross Wightman
"""
import math
from funct... | pytorch-image-models/timm/models/edgenext.py/0 | {
"file_path": "pytorch-image-models/timm/models/edgenext.py",
"repo_id": "pytorch-image-models",
"token_count": 12222
} | 266 |
from ._builder import *
from ._helpers import *
from ._manipulate import *
from ._prune import *
import warnings
warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.models", FutureWarning)
| pytorch-image-models/timm/models/helpers.py/0 | {
"file_path": "pytorch-image-models/timm/models/helpers.py",
"repo_id": "pytorch-image-models",
"token_count": 62
} | 267 |
""" MobileNet V3
A PyTorch impl of MobileNet-V3, compatible with TF weights from official impl.
Paper: Searching for MobileNetV3 - https://arxiv.org/abs/1905.02244
Hacked together by / Copyright 2019, Ross Wightman
"""
from functools import partial
from typing import Any, Dict, Callable, List, Optional, Tuple, Union... | pytorch-image-models/timm/models/mobilenetv3.py/0 | {
"file_path": "pytorch-image-models/timm/models/mobilenetv3.py",
"repo_id": "pytorch-image-models",
"token_count": 32542
} | 268 |
""" RepViT
Paper: `RepViT: Revisiting Mobile CNN From ViT Perspective`
- https://arxiv.org/abs/2307.09283
@misc{wang2023repvit,
title={RepViT: Revisiting Mobile CNN From ViT Perspective},
author={Ao Wang and Hui Chen and Zijia Lin and Hengjun Pu and Guiguang Ding},
year={2023},
eprint={230... | pytorch-image-models/timm/models/repvit.py/0 | {
"file_path": "pytorch-image-models/timm/models/repvit.py",
"repo_id": "pytorch-image-models",
"token_count": 9407
} | 269 |
""" 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, List, ... | 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": 13498
} | 270 |
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
} | 271 |
""" Lion Optimizer
Paper: `Symbolic Discovery of Optimization Algorithms` - https://arxiv.org/abs/2302.06675
Original Impl: https://github.com/google/automl/tree/master/lion
References for added functionality:
Cautious Optimizers: https://arxiv.org/abs/2411.16085
Why Gradients Rapidly Increase Near the End of ... | pytorch-image-models/timm/optim/lion.py/0 | {
"file_path": "pytorch-image-models/timm/optim/lion.py",
"repo_id": "pytorch-image-models",
"token_count": 4091
} | 272 |
""" 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
} | 273 |
""" 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
} | 274 |
repos:
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.2.1
hooks:
- id: ruff
args:
- --fix
- id: ruff-format
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.5.0
hooks:
- id: check-merge-conflict
- id: check-yaml
| smolagents/.pre-commit-config.yaml/0 | {
"file_path": "smolagents/.pre-commit-config.yaml",
"repo_id": "smolagents",
"token_count": 158
} | 275 |
# Agentic RAG
[[open-in-colab]]
## Introduction to Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG) combines the power of large language models with external knowledge retrieval to produce more accurate, factual, and contextually relevant responses. At its core, RAG is about "using an LLM to... | smolagents/docs/source/en/examples/rag.md/0 | {
"file_path": "smolagents/docs/source/en/examples/rag.md",
"repo_id": "smolagents",
"token_count": 2523
} | 276 |
- title: Get started
sections:
- local: index
title: 소개
- title: 예제
sections:
- local: examples/text_to_sql
title: 스스로 오류를 수정하는 Text-to-SQL
- local: in_translation
title: (번역중) Master your knowledge base with agentic RAG
- local: examples/multiagents
title: 멀티 에이전트 시스템 오케스트레이션
- local: in_... | smolagents/docs/source/ko/_toctree.yml/0 | {
"file_path": "smolagents/docs/source/ko/_toctree.yml",
"repo_id": "smolagents",
"token_count": 424
} | 277 |
# 工具
<Tip warning={true}>
Smolagents 是一个实验性 API，可能会随时更改。由于 API 或底层模型可能发生变化，代理返回的结果可能会有所不同。
</Tip>
要了解更多关于智能体和工具的信息，请务必阅读[入门指南](../index)。本页面包含底层类的 API 文档。
## 工具
### load_tool
[[autodoc]] load_tool
### tool
[[autodoc]] tool
### Tool
[[autodoc]] Tool
### launch_gradio_demo
[[autodoc]] launch_gradio_demo
## ... | smolagents/docs/source/zh/reference/tools.md/0 | {
"file_path": "smolagents/docs/source/zh/reference/tools.md",
"repo_id": "smolagents",
"token_count": 1123
} | 278 |
<jupyter_start><jupyter_code>!pip install plotly kaleido datasets nbformat -U -q
import os
import datasets
import pandas as pd
from dotenv import load_dotenv
from huggingface_hub import login
load_dotenv(override=True)
login(os.getenv("HF_TOKEN"))
pd.set_option("max_colwidth", None)
OUTPUT_DIR = "output"
eval_ds =... | smolagents/examples/open_deep_research/analysis.ipynb/0 | {
"file_path": "smolagents/examples/open_deep_research/analysis.ipynb",
"repo_id": "smolagents",
"token_count": 3321
} | 279 |
# from huggingface_hub import login
# login()
import datasets
from langchain.docstore.document import Document
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain_community.retrievers import BM25Retriever
knowledge_base = datasets.load_dataset("m-ric/huggingface_doc", split="train")
kno... | smolagents/examples/rag.py/0 | {
"file_path": "smolagents/examples/rag.py",
"repo_id": "smolagents",
"token_count": 818
} | 280 |
#!/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/LI... | smolagents/src/smolagents/gradio_ui.py/0 | {
"file_path": "smolagents/src/smolagents/gradio_ui.py",
"repo_id": "smolagents",
"token_count": 9065
} | 281 |
import io
from textwrap import dedent
from unittest.mock import MagicMock, patch
import docker
import PIL.Image
import pytest
from rich.console import Console
from smolagents.default_tools import FinalAnswerTool, WikipediaSearchTool
from smolagents.monitoring import AgentLogger, LogLevel
from smolagents.remote_execut... | smolagents/tests/test_remote_executors.py/0 | {
"file_path": "smolagents/tests/test_remote_executors.py",
"repo_id": "smolagents",
"token_count": 7884
} | 282 |
# Rust builder
FROM lukemathwalker/cargo-chef:latest-rust-1.85.1 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/0 | {
"file_path": "text-generation-inference/Dockerfile",
"repo_id": "text-generation-inference",
"token_count": 3446
} | 283 |
use std::fs;
fn main() -> Result<(), Box<dyn std::error::Error>> {
println!("cargo:rerun-if-changed=../../proto/");
fs::create_dir_all("src/v2/pb").unwrap_or(());
let mut config = prost_build::Config::new();
config.protoc_arg("--experimental_allow_proto3_optional");
tonic_build::configure()
... | text-generation-inference/backends/client/build.rs/0 | {
"file_path": "text-generation-inference/backends/client/build.rs",
"repo_id": "text-generation-inference",
"token_count": 624
} | 284 |
flash_att_commit := 3a9bfd076f98746c73362328958dbc68d145fbec
build-flash-attention:
if [ ! -d 'flash-attention' ]; then \
pip install -U packaging ninja --no-cache-dir && \
git clone https://github.com/HazyResearch/flash-attention.git; \
fi
cd flash-attention && git fetch && git checkout $(flash_att_commit) &&... | text-generation-inference/backends/gaudi/server/Makefile-flash-att/0 | {
"file_path": "text-generation-inference/backends/gaudi/server/Makefile-flash-att",
"repo_id": "text-generation-inference",
"token_count": 231
} | 285 |
import os
import sys
import typer
from pathlib import Path
from loguru import logger
from typing import Optional
from enum import Enum
from huggingface_hub import hf_hub_download
from text_generation_server.utils.adapter import parse_lora_adapters
app = typer.Typer()
class Quantization(str, Enum):
gptq = "gptq... | text-generation-inference/backends/gaudi/server/text_generation_server/cli.py/0 | {
"file_path": "text-generation-inference/backends/gaudi/server/text_generation_server/cli.py",
"repo_id": "text-generation-inference",
"token_count": 5876
} | 286 |
from dataclasses import dataclass
from typing import Optional, Tuple, Type, Union, List
import torch
from text_generation_server.utils.weights import (
Weight,
WeightsLoader,
UnquantizedWeight,
Weights,
)
from vllm_hpu_extension.ops import scaled_fp8_quant
from vllm_hpu_extension.scales import get_hp... | text-generation-inference/backends/gaudi/server/text_generation_server/layers/fp8.py/0 | {
"file_path": "text-generation-inference/backends/gaudi/server/text_generation_server/layers/fp8.py",
"repo_id": "text-generation-inference",
"token_count": 11380
} | 287 |
import torch
from torch.nn import functional as F
from typing import Iterable, List
from text_generation_server.layers.linear import get_linear, FastLinear
import habana_frameworks.torch as htorch
class LayerConcat(torch.nn.Module):
"""
Apply multiple layers to the input and concatenate their
outputs.
... | text-generation-inference/backends/gaudi/server/text_generation_server/layers/tensor_parallel.py/0 | {
"file_path": "text-generation-inference/backends/gaudi/server/text_generation_server/layers/tensor_parallel.py",
"repo_id": "text-generation-inference",
"token_count": 4080
} | 288 |
# Origin: https://github.com/predibase/lorax
# Path: lorax/server/lorax_server/utils/adapter.py
# License: Apache License Version 2.0, January 2004
import warnings
import re
from dataclasses import dataclass
from functools import lru_cache
from typing import TYPE_CHECKING, Set, Tuple, Optional, List
from safet... | text-generation-inference/backends/gaudi/server/text_generation_server/utils/adapter.py/0 | {
"file_path": "text-generation-inference/backends/gaudi/server/text_generation_server/utils/adapter.py",
"repo_id": "text-generation-inference",
"token_count": 4488
} | 289 |
# Origin: https://github.com/predibase/lorax
# Path: lorax/server/lorax_server/utils/sgmv.py
# License: Apache License Version 2.0, January 2004
import os
import warnings
from functools import lru_cache
from typing import List, Tuple
import torch
import torch.nn.functional as F
try:
import punica_kernels ... | text-generation-inference/backends/gaudi/server/text_generation_server/utils/sgmv.py/0 | {
"file_path": "text-generation-inference/backends/gaudi/server/text_generation_server/utils/sgmv.py",
"repo_id": "text-generation-inference",
"token_count": 3651
} | 290 |
use crate::llamacpp;
use std::ffi::CString;
#[repr(u32)]
#[derive(Debug, Clone, Copy)]
pub enum QuantizeType {
MostlyQ4_0 = 2,
}
pub fn model(
input_path: &str,
output_path: &str,
ftype: QuantizeType,
n_threads: usize,
) -> Result<(), String> {
let c_input_path =
CString::new(input_pa... | text-generation-inference/backends/llamacpp/src/quantize.rs/0 | {
"file_path": "text-generation-inference/backends/llamacpp/src/quantize.rs",
"repo_id": "text-generation-inference",
"token_count": 419
} | 291 |
from argparse import ArgumentParser
from huggingface_hub import HfApi
def main():
parser = ArgumentParser()
parser.add_argument("--yes", action="store_true", default=False)
args = parser.parse_args()
api = HfApi()
models = api.list_models(search="optimum-internal-testing/neuron-tgi-testing")
f... | text-generation-inference/backends/neuron/tests/prune_test_models.py/0 | {
"file_path": "text-generation-inference/backends/neuron/tests/prune_test_models.py",
"repo_id": "text-generation-inference",
"token_count": 285
} | 292 |
use cxx_build::CFG;
use pkg_config;
use std::env;
use std::env::consts::ARCH;
use std::path::{absolute, PathBuf};
use std::sync::LazyLock;
const ADDITIONAL_BACKEND_LINK_LIBRARIES: [&str; 1] = ["spdlog"];
const CUDA_ARCH_LIST: Option<&str> = option_env!("CUDA_ARCH_LIST");
const CUDA_REQUIRED_VERSION: &str = "12.8";
con... | text-generation-inference/backends/trtllm/build.rs/0 | {
"file_path": "text-generation-inference/backends/trtllm/build.rs",
"repo_id": "text-generation-inference",
"token_count": 4237
} | 293 |
//
// Created by mfuntowicz on 12/3/24.
//
#include <catch2/catch_all.hpp>
#include <nlohmann/json.hpp>
#include <tensorrt_llm/executor/executor.h>
#include "backend.hpp"
using namespace huggingface::tgi::backends::trtllm;
TEST_CASE("parse generation_config.json all set", "[generation_config_t]")
{
const json c... | text-generation-inference/backends/trtllm/tests/test_backend.cpp/0 | {
"file_path": "text-generation-inference/backends/trtllm/tests/test_backend.cpp",
"repo_id": "text-generation-inference",
"token_count": 2696
} | 294 |
/// Single shard Client
use crate::client::{pb, Chunk};
use crate::client::{ClientError, Result, WARMUP_IMAGE_BASE64};
use base64::engine::general_purpose::STANDARD;
use base64::Engine;
use grpc_metadata::InjectTelemetryContext;
use pb::generate::v3::text_generation_service_client::TextGenerationServiceClient;
use pb::... | text-generation-inference/backends/v3/src/client/grpc_client.rs/0 | {
"file_path": "text-generation-inference/backends/v3/src/client/grpc_client.rs",
"repo_id": "text-generation-inference",
"token_count": 5255
} | 295 |
Documentation available at: https://huggingface.co/docs/text-generation-inference
## Release
When making a release, please update the latest version in the documentation with:
```
export OLD_VERSION="2\.0\.3"
export NEW_VERSION="2\.0\.4"
find . -name '*.md' -exec sed -i -e "s/$OLD_VERSION/$NEW_VERSION/g" {} \;
```
| text-generation-inference/docs/README.md/0 | {
"file_path": "text-generation-inference/docs/README.md",
"repo_id": "text-generation-inference",
"token_count": 107
} | 296 |
# Using TGI CLI
You can use TGI command-line interface (CLI) to download weights, serve and quantize models, or get information on serving parameters. To install the CLI, please refer to [the installation section](../installation#install-cli).
`text-generation-server` lets you download the model with `download-weight... | text-generation-inference/docs/source/basic_tutorials/using_cli.md/0 | {
"file_path": "text-generation-inference/docs/source/basic_tutorials/using_cli.md",
"repo_id": "text-generation-inference",
"token_count": 323
} | 297 |
# Using TGI with AMD GPUs
TGI is supported and tested on [AMD Instinct MI210](https://www.amd.com/en/products/accelerators/instinct/mi200/mi210.html), [MI250](https://www.amd.com/en/products/accelerators/instinct/mi200/mi250.html) and [MI300](https://www.amd.com/en/products/accelerators/instinct/mi300.html) GPUs. The ... | text-generation-inference/docs/source/installation_amd.md/0 | {
"file_path": "text-generation-inference/docs/source/installation_amd.md",
"repo_id": "text-generation-inference",
"token_count": 1047
} | 298 |
import asyncio
import contextlib
import os
import shlex
import subprocess
import sys
import threading
import time
from tempfile import TemporaryDirectory
from typing import List
import socket
import docker
import pytest
from aiohttp import ClientConnectorError, ClientOSError, ServerDisconnectedError
from docker.errors... | text-generation-inference/integration-tests/fixtures/gaudi/service.py/0 | {
"file_path": "text-generation-inference/integration-tests/fixtures/gaudi/service.py",
"repo_id": "text-generation-inference",
"token_count": 4842
} | 299 |
[
{
"choices": [
{
"delta": {
"content": "OK",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 174126... | text-generation-inference/integration-tests/models/__snapshots__/test_completion_prompts/test_chat_openai_nousage.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_completion_prompts/test_chat_openai_nousage.json",
"repo_id": "text-generation-inference",
"token_count": 861
} | 300 |
{
"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
} | 301 |
[
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [],
"seed": null,
"tokens": [
{
"id": 13,
"logprob": -1.1845703,
"special": false,
"text": "\n"
},
{
... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_load.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_load.json",
"repo_id": "text-generation-inference",
"token_count": 4006
} | 302 |
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