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hf_public_repos/peft/examples
hf_public_repos/peft/examples/token_classification/requirements.txt
transformers accelerate evaluate tqdm datasets Pillow torchvision
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hf_public_repos/peft/examples
hf_public_repos/peft/examples/semantic_segmentation/semantic_segmentation_peft_lora.ipynb
from huggingface_hub import notebook_login notebook_login()from datasets import load_dataset ds = load_dataset("scene_parse_150", split="train[:150]")ds = ds.train_test_split(test_size=0.1) train_ds = ds["train"] test_ds = ds["test"]import json from huggingface_hub import cached_download, hf_hub_url repo_id = "huggi...
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hf_public_repos/peft/examples
hf_public_repos/peft/examples/semantic_segmentation/README.md
# Fine-tuning for semantic segmentation using LoRA and 🤗 PEFT [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/peft/blob/main/examples/semantic_segmentation/semantic_segmentation_peft_lora.ipynb) We provide a notebook (`semantic_segmen...
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hf_public_repos/peft/examples
hf_public_repos/peft/examples/image_classification/image_classification_timm_peft_lora.ipynb
import timm import torch from PIL import Image from timm.data import resolve_data_config from timm.data.transforms_factory import create_transformimport peft from datasets import load_datasettorch.manual_seed(0)model_id_timm = "timm/poolformer_m36.sail_in1k"model = timm.create_model(model_id_timm, pretrained=True, num_...
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hf_public_repos/peft/examples
hf_public_repos/peft/examples/image_classification/README.md
# Fine-tuning for image classification using LoRA and 🤗 PEFT ## Vision Transformer model from transformers [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/peft/blob/main/examples/image_classification/image_classification_peft_lora.ipyn...
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hf_public_repos/peft/examples
hf_public_repos/peft/examples/image_classification/image_classification_peft_lora.ipynb
from huggingface_hub import notebook_login notebook_login()import transformers import accelerate import peftprint(f"Transformers version: {transformers.__version__}") print(f"Accelerate version: {accelerate.__version__}") print(f"PEFT version: {peft.__version__}")model_checkpoint = "google/vit-base-patch16-224-in21k" ...
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hf_public_repos/peft/examples
hf_public_repos/peft/examples/int8_training/Finetune_opt_bnb_peft.ipynb
import os import torch import torch.nn as nn import bitsandbytes as bnb from transformers import AutoTokenizer, AutoConfig, AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("facebook/opt-6.7b", load_in_8bit=True) tokenizer = AutoTokenizer.from_pretrained("facebook/opt-6.7b")from peft import prepare_...
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hf_public_repos/peft/examples
hf_public_repos/peft/examples/int8_training/peft_adalora_whisper_large_training.py
import argparse import gc import json import logging import math import os from dataclasses import dataclass from datetime import datetime from pathlib import Path from random import randint from typing import Any, Dict, List, Union # datasets imports import datasets # metric imports import evaluate import numpy as n...
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hf_public_repos/peft/examples
hf_public_repos/peft/examples/int8_training/fine_tune_blip2_int8.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/examples
hf_public_repos/peft/examples/int8_training/peft_bnb_whisper_large_v2_training.ipynb
from huggingface_hub import notebook_login notebook_login()# Select CUDA device index import os os.environ["CUDA_VISIBLE_DEVICES"] = "0" model_name_or_path = "openai/whisper-large-v2" language = "Marathi" language_abbr = "mr" task = "transcribe" dataset_name = "mozilla-foundation/common_voice_11_0"from datasets impor...
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hf_public_repos/peft/examples
hf_public_repos/peft/examples/int8_training/Finetune_flan_t5_large_bnb_peft.ipynb
# Select CUDA device index import os import torch os.environ["CUDA_VISIBLE_DEVICES"] = "0" from datasets import load_dataset from transformers import AutoModelForSeq2SeqLM, AutoTokenizer model_name = "google/flan-t5-large" model = AutoModelForSeq2SeqLM.from_pretrained(model_name, load_in_8bit=True) tokenizer = Auto...
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hf_public_repos/peft/examples
hf_public_repos/peft/examples/int8_training/run_adalora_whisper_int8.sh
accelerate launch --config_file config.yaml peft_adalora_whisper_large_training.py \ --model_name_or_path "openai/whisper-large-v2" \ --language "Marathi" \ --language_abbr "mr" \ --task "transcribe" \ --dataset_name "mozilla-foundation/common_voice_11_0" \ --push_to_hub \ --preprocessing_nu...
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hf_public_repos/peft
hf_public_repos/peft/scripts/stale.py
# Copyright 2023 The HuggingFace Team, the AllenNLP library authors. 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 # ...
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hf_public_repos/peft
hf_public_repos/peft/scripts/log_reports.py
import json, os from pathlib import Path from datetime import date from tabulate import tabulate failed = [] passed = [] group_info = [] total_num_failed = 0 empty_file = False or len(list(Path().glob("*.log"))) == 0 total_empty_files = [] for log in Path().glob("*.log"): section_num_failed = 0 i = 0 w...
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hf_public_repos/peft
hf_public_repos/peft/scripts/launch_notebook_mp.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src
hf_public_repos/peft/src/peft/config.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src
hf_public_repos/peft/src/peft/__init__.py
# flake8: noqa # There's no way to ignore "F401 '...' imported but unused" warnings in this # module, but to preserve other warnings. So, don't check this module at all. # coding=utf-8 # Copyright 2023-present the HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not ...
0
hf_public_repos/peft/src
hf_public_repos/peft/src/peft/peft_model.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src
hf_public_repos/peft/src/peft/mixed_model.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src
hf_public_repos/peft/src/peft/import_utils.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src
hf_public_repos/peft/src/peft/mapping.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src
hf_public_repos/peft/src/peft/helpers.py
import inspect from copy import deepcopy from functools import update_wrapper from types import MethodType from .peft_model import PeftModel def update_forward_signature(model: PeftModel) -> None: """ Args: Updates the forward signature of the PeftModel to include parents class signature model (`...
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hf_public_repos/peft/src
hf_public_repos/peft/src/peft/auto.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft
hf_public_repos/peft/src/peft/utils/loftq_utils.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft
hf_public_repos/peft/src/peft/utils/constants.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft
hf_public_repos/peft/src/peft/utils/__init__.py
# flake8: noqa # There's no way to ignore "F401 '...' imported but unused" warnings in this # module, but to preserve other warnings. So, don't check this module at all # coding=utf-8 # Copyright 2023-present the HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not u...
0
hf_public_repos/peft/src/peft
hf_public_repos/peft/src/peft/utils/other.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft
hf_public_repos/peft/src/peft/utils/peft_types.py
# flake8: noqa # There's no way to ignore "F401 '...' imported but unused" warnings in this # module, but to preserve other warnings. So, don't check this module at all # coding=utf-8 # Copyright 2023-present the HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not u...
0
hf_public_repos/peft/src/peft
hf_public_repos/peft/src/peft/utils/save_and_load.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft
hf_public_repos/peft/src/peft/tuners/__init__.py
# flake8: noqa # There's no way to ignore "F401 '...' imported but unused" warnings in this # module, but to preserve other warnings. So, don't check this module at all # coding=utf-8 # Copyright 2023-present the HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not u...
0
hf_public_repos/peft/src/peft
hf_public_repos/peft/src/peft/tuners/lycoris_utils.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft
hf_public_repos/peft/src/peft/tuners/tuners_utils.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/prompt_tuning/config.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/prompt_tuning/__init__.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/prompt_tuning/model.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/loha/config.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/loha/__init__.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/loha/model.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/loha/layer.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/lokr/config.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/lokr/__init__.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/lokr/model.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/lokr/layer.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/p_tuning/config.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/p_tuning/__init__.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/p_tuning/model.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/mixed/__init__.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/mixed/model.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/prefix_tuning/config.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/prefix_tuning/__init__.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/prefix_tuning/model.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/adaption_prompt/config.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/adaption_prompt/__init__.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/adaption_prompt/model.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/adaption_prompt/utils.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/adaption_prompt/layer.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/ia3/config.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/ia3/__init__.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/ia3/model.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/ia3/layer.py
# 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 # # Unless required by ap...
0
hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/ia3/bnb.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/adalora/config.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/adalora/__init__.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/adalora/model.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/adalora/gptq.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/adalora/layer.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/adalora/bnb.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/multitask_prompt_tuning/config.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/multitask_prompt_tuning/__init__.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/multitask_prompt_tuning/model.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/lora/config.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/lora/tp_layer.py
from typing import Any import torch import torch.nn as nn import torch.nn.init as init from .layer import LoraLayer class LoraParallelLinear(nn.Module, LoraLayer): """ When the target layer parallel_linear is RowParallelLinear, in order to keep the input and output shapes consistent, we need to split th...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/lora/__init__.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/lora/model.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/lora/gptq.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/lora/layer.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/lora/bnb.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/oft/config.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/oft/__init__.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/oft/model.py
# 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 # # Unless required by ap...
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hf_public_repos/peft/src/peft/tuners
hf_public_repos/peft/src/peft/tuners/oft/layer.py
# 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 # # Unless required by ap...
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hf_public_repos
hf_public_repos/text-generation-inference/Cargo.toml
[workspace] members = [ "benchmark", "router", "router/client", "router/grpc-metadata", "launcher" ] [workspace.package] version = "1.2.0" edition = "2021" authors = ["Olivier Dehaene"] homepage = "https://github.com/huggingface/text-generation-inference" [profile.release] debug = 1 incremental = ...
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hf_public_repos
hf_public_repos/text-generation-inference/update_doc.py
import subprocess import argparse def main(): parser = argparse.ArgumentParser() parser.add_argument("--check", action="store_true") args = parser.parse_args() output = subprocess.check_output(["text-generation-launcher", "--help"]).decode( "utf-8" ) wrap_code_blocks_flag = "<!-- WR...
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hf_public_repos
hf_public_repos/text-generation-inference/sagemaker-entrypoint.sh
#!/bin/bash if [[ -z "${HF_MODEL_ID}" ]]; then echo "HF_MODEL_ID must be set" exit 1 fi export MODEL_ID="${HF_MODEL_ID}" if [[ -n "${HF_MODEL_REVISION}" ]]; then export REVISION="${HF_MODEL_REVISION}" fi if [[ -n "${SM_NUM_GPUS}" ]]; then export NUM_SHARD="${SM_NUM_GPUS}" fi if [[ -n "${HF_MODEL_QUANTIZE}" ...
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hf_public_repos
hf_public_repos/text-generation-inference/LICENSE
Hugging Face Optimized Inference License 1.0 (HFOILv1.0) This License Agreement governs the use of the Software and its Modifications. It is a binding agreement between the Licensor and You. This License Agreement shall be referred to as Hugging Face Optimized Inference License 1.0 or HFOILv1.0. We may publish revis...
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hf_public_repos
hf_public_repos/text-generation-inference/Dockerfile_amd
# Rust builder FROM lukemathwalker/cargo-chef:latest-rust-1.71 AS chef WORKDIR /usr/src ARG CARGO_REGISTRIES_CRATES_IO_PROTOCOL=sparse FROM chef as planner COPY Cargo.toml Cargo.toml COPY rust-toolchain.toml rust-toolchain.toml COPY proto proto COPY benchmark benchmark COPY router router COPY launcher launcher RUN ca...
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hf_public_repos
hf_public_repos/text-generation-inference/Dockerfile
# Rust builder FROM lukemathwalker/cargo-chef:latest-rust-1.71 AS chef WORKDIR /usr/src ARG CARGO_REGISTRIES_CRATES_IO_PROTOCOL=sparse FROM chef as planner COPY Cargo.toml Cargo.toml COPY rust-toolchain.toml rust-toolchain.toml COPY proto proto COPY benchmark benchmark COPY router router COPY launcher launcher RUN ca...
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hf_public_repos
hf_public_repos/text-generation-inference/Makefile
install-server: cd server && make install install-custom-kernels: if [ "$$BUILD_EXTENSIONS" = "True" ]; then cd server/custom_kernels && python setup.py install; else echo "Custom kernels are disabled, you need to set the BUILD_EXTENSIONS environment variable to 'True' in order to build them. (Please read the docs, ...
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hf_public_repos
hf_public_repos/text-generation-inference/Cargo.lock
# This file is automatically @generated by Cargo. # It is not intended for manual editing. version = 3 [[package]] name = "addr2line" version = "0.21.0" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "8a30b2e23b9e17a9f90641c7ab1549cd9b44f296d3ccbf309d2863cfe398a0cb" dependencies = [ "giml...
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hf_public_repos
hf_public_repos/text-generation-inference/README.md
<div align="center"> <a href="https://www.youtube.com/watch?v=jlMAX2Oaht0"> <img width=560 width=315 alt="Making TGI deployment optimal" src="https://huggingface.co/datasets/Narsil/tgi_assets/resolve/main/thumbnail.png"> </a> # Text Generation Inference <a href="https://github.com/huggingface/text-generation-inf...
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hf_public_repos
hf_public_repos/text-generation-inference/.dockerignore
aml target server/transformers server/flash-attention
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hf_public_repos
hf_public_repos/text-generation-inference/rust-toolchain.toml
[toolchain] channel = "1.70.0" components = ["rustfmt", "clippy"]
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hf_public_repos/text-generation-inference
hf_public_repos/text-generation-inference/benchmark/Cargo.toml
[package] name = "text-generation-benchmark" description = "Text Generation Benchmarking tool" version.workspace = true edition.workspace = true authors.workspace = true homepage.workspace = true [lib] path = "src/lib.rs" [[bin]] name = "text-generation-benchmark" path = "src/main.rs" [dependencies] average = "0.14"...
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hf_public_repos/text-generation-inference
hf_public_repos/text-generation-inference/benchmark/README.md
<div align="center"> # Text Generation Inference benchmarking tool ![benchmark](../assets/benchmark.png) </div> A lightweight benchmarking tool based inspired by [oha](https://github.com/hatoo/oha) and powered by [tui](https://github.com/tui-rs-revival/ratatui). ## Install ```shell make install-benchmark ``` ...
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hf_public_repos/text-generation-inference/benchmark
hf_public_repos/text-generation-inference/benchmark/src/generation.rs
use std::time::{Duration, Instant}; use text_generation_client::{ Batch, CachedBatch, ClientError, NextTokenChooserParameters, Request, ShardedClient, StoppingCriteriaParameters, }; use tokenizers::{Tokenizer, TruncationDirection}; use tokio::sync::{broadcast, mpsc}; const LOREM_IPSUM: &str = "Lorem ipsum dolo...
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hf_public_repos/text-generation-inference/benchmark
hf_public_repos/text-generation-inference/benchmark/src/lib.rs
mod app; mod event; mod generation; mod table; mod utils; use crate::app::App; use crate::event::Event; use crossterm::ExecutableCommand; use std::io; use text_generation_client::{NextTokenChooserParameters, ShardedClient}; use tokenizers::Tokenizer; use tokio::sync::{broadcast, mpsc}; use tui::backend::CrosstermBacke...
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hf_public_repos/text-generation-inference/benchmark
hf_public_repos/text-generation-inference/benchmark/src/event.rs
/// Inspired by https://github.com/orhun/rust-tui-template/blob/472aa515119d4c94903eac12d9784417281dc7f5/src/event.rs use crossterm::event; use std::time::{Duration, Instant}; use tokio::sync::{broadcast, mpsc}; /// Events #[derive(Debug)] pub(crate) enum Event { /// Terminal tick. Tick, /// Key press. ...
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hf_public_repos/text-generation-inference/benchmark
hf_public_repos/text-generation-inference/benchmark/src/table.rs
use crate::app::Data; use tabled::settings::Merge; use tabled::{builder::Builder, settings::Style, Table}; #[allow(clippy::too_many_arguments)] pub(crate) fn parameters_table( tokenizer_name: String, sequence_length: u32, decode_length: u32, top_n_tokens: Option<u32>, n_runs: usize, warmups: us...
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hf_public_repos/text-generation-inference/benchmark
hf_public_repos/text-generation-inference/benchmark/src/main.rs
/// Text Generation Inference benchmarking tool /// /// Inspired by the great Oha app: https://github.com/hatoo/oha /// and: https://github.com/orhun/rust-tui-template use clap::Parser; use std::path::Path; use text_generation_client::ShardedClient; use tokenizers::{FromPretrainedParameters, Tokenizer}; use tracing_sub...
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hf_public_repos/text-generation-inference/benchmark
hf_public_repos/text-generation-inference/benchmark/src/app.rs
/// Inspired by https://github.com/hatoo/oha/blob/bb989ea3cd77727e7743e7daa60a19894bb5e901/src/monitor.rs use crate::generation::{Decode, Message, Prefill}; use crossterm::event::{KeyCode, KeyEvent, KeyModifiers}; use text_generation_client::ClientError; use tokio::sync::mpsc; use tui::backend::Backend; use tui::layout...
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