text stringlengths 5 409k | id stringlengths 14 178 | metadata dict | __index_level_0__ int64 0 572 |
|---|---|---|---|
<!--Copyright 2020 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... | transformers/docs/source/pt/fast_tokenizers.md/0 | {
"file_path": "transformers/docs/source/pt/fast_tokenizers.md",
"repo_id": "transformers",
"token_count": 937
} | 341 |
- sections:
- local: index
title: 🤗 Transformers 简介
- local: quicktour
title: 快速上手
- local: installation
title: 安装
title: 开始使用
- sections:
- local: pipeline_tutorial
title: 使用pipelines进行推理
- local: autoclass_tutorial
title: 使用AutoClass编写可移植的代码
- local: preprocessing
title: 预处理数据
... | transformers/docs/source/zh/_toctree.yml/0 | {
"file_path": "transformers/docs/source/zh/_toctree.yml",
"repo_id": "transformers",
"token_count": 2392
} | 342 |
<!--
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 agree... | transformers/docs/source/zh/fsdp.md/0 | {
"file_path": "transformers/docs/source/zh/fsdp.md",
"repo_id": "transformers",
"token_count": 4054
} | 343 |
<!--Copyright 2020 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... | transformers/docs/source/zh/main_classes/callback.md/0 | {
"file_path": "transformers/docs/source/zh/main_classes/callback.md",
"repo_id": "transformers",
"token_count": 2183
} | 344 |
<!--Copyright 2020 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... | transformers/docs/source/zh/main_classes/tokenizer.md/0 | {
"file_path": "transformers/docs/source/zh/main_classes/tokenizer.md",
"repo_id": "transformers",
"token_count": 1932
} | 345 |
<!--Copyright 2020 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... | transformers/docs/source/zh/serialization.md/0 | {
"file_path": "transformers/docs/source/zh/serialization.md",
"repo_id": "transformers",
"token_count": 4933
} | 346 |
<!---
Copyright 2021 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 ... | transformers/examples/flax/language-modeling/README.md/0 | {
"file_path": "transformers/examples/flax/language-modeling/README.md",
"repo_id": "transformers",
"token_count": 7218
} | 347 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. 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 a... | transformers/examples/legacy/benchmarking/run_benchmark.py/0 | {
"file_path": "transformers/examples/legacy/benchmarking/run_benchmark.py",
"repo_id": "transformers",
"token_count": 699
} | 348 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University Authors and the HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in co... | transformers/examples/legacy/run_openai_gpt.py/0 | {
"file_path": "transformers/examples/legacy/run_openai_gpt.py",
"repo_id": "transformers",
"token_count": 6176
} | 349 |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. 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 cop... | transformers/examples/legacy/token-classification/run_ner.py/0 | {
"file_path": "transformers/examples/legacy/token-classification/run_ner.py",
"repo_id": "transformers",
"token_count": 5024
} | 350 |
# 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from examples/modular-transformers/modular_from_uppercase_model.py.
# Do NOT edit this file manually as any edits will be overwritten by the g... | transformers/examples/modular-transformers/modeling_from_uppercase_model.py/0 | {
"file_path": "transformers/examples/modular-transformers/modeling_from_uppercase_model.py",
"repo_id": "transformers",
"token_count": 7332
} | 351 |
import torch
import torch.utils.checkpoint
from transformers.models.blip.image_processing_blip import BlipImageProcessor
class ImgprocModelImageProcessor(BlipImageProcessor):
def new_image_processing_method(self, pixel_values: torch.FloatTensor):
return pixel_values / 2
| transformers/examples/modular-transformers/modular_new_imgproc_model.py/0 | {
"file_path": "transformers/examples/modular-transformers/modular_new_imgproc_model.py",
"repo_id": "transformers",
"token_count": 90
} | 352 |
<!---
Copyright 2021 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 ... | transformers/examples/pytorch/speech-recognition/README.md/0 | {
"file_path": "transformers/examples/pytorch/speech-recognition/README.md",
"repo_id": "transformers",
"token_count": 14232
} | 353 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. 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.
... | transformers/examples/pytorch/text-classification/run_xnli.py/0 | {
"file_path": "transformers/examples/pytorch/text-classification/run_xnli.py",
"repo_id": "transformers",
"token_count": 7388
} | 354 |
import json
from typing import Any, Dict
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
from transformers.quantizers import HfQuantizer, register_quantization_config, register_quantizer
from transformers.utils.quantization_config import QuantizationConfigMixin
@register_quantization_confi... | transformers/examples/quantization/custom_quantization.py/0 | {
"file_path": "transformers/examples/quantization/custom_quantization.py",
"repo_id": "transformers",
"token_count": 924
} | 355 |
# coding=utf-8
# Copyright 2019 The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. 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.a... | transformers/examples/research_projects/bertabs/configuration_bertabs.py/0 | {
"file_path": "transformers/examples/research_projects/bertabs/configuration_bertabs.py",
"repo_id": "transformers",
"token_count": 1347
} | 356 |
from arguments import TokenizerTrainingArguments
from datasets import load_dataset
from tqdm import tqdm
from transformers import AutoTokenizer, HfArgumentParser
from transformers.models.gpt2.tokenization_gpt2 import bytes_to_unicode
# Iterator for Training
def batch_iterator(batch_size=10):
for _ in tqdm(range(... | transformers/examples/research_projects/codeparrot/scripts/bpe_training.py/0 | {
"file_path": "transformers/examples/research_projects/codeparrot/scripts/bpe_training.py",
"repo_id": "transformers",
"token_count": 347
} | 357 |
from __future__ import absolute_import, division, print_function
import argparse
import glob
import logging
import os
import random
import time
import numpy as np
import torch
from torch import nn
from torch.utils.data import DataLoader, RandomSampler, SequentialSampler, TensorDataset
from torch.utils.data.distribute... | transformers/examples/research_projects/deebert/run_glue_deebert.py/0 | {
"file_path": "transformers/examples/research_projects/deebert/run_glue_deebert.py",
"repo_id": "transformers",
"token_count": 13897
} | 358 |
# coding=utf-8
# Copyright 2019-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 a... | transformers/examples/research_projects/distillation/train.py/0 | {
"file_path": "transformers/examples/research_projects/distillation/train.py",
"repo_id": "transformers",
"token_count": 5148
} | 359 |
# Copyright 2022 - Intel Corp. All rights reserved.
# Authors: Mayank Kumar Raunak, Javier Turek, Nicole Backage
import copy
import logging
import random
import joblib
import numpy as np
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from tqdm import tqdm
from transformers import AdamW, G... | transformers/examples/research_projects/information-gain-filtration/igf/igf.py/0 | {
"file_path": "transformers/examples/research_projects/information-gain-filtration/igf/igf.py",
"repo_id": "transformers",
"token_count": 6117
} | 360 |
import copy
from transformers.configuration_utils import PretrainedConfig
from transformers.utils import logging
logger = logging.get_logger(__name__)
class HybridCLIPConfig(PretrainedConfig):
r"""
:class:`HybridCLIPConfig` is the configuration class to store the configuration of a
:class:`~HybridCLIPM... | transformers/examples/research_projects/jax-projects/hybrid_clip/configuration_hybrid_clip.py/0 | {
"file_path": "transformers/examples/research_projects/jax-projects/hybrid_clip/configuration_hybrid_clip.py",
"repo_id": "transformers",
"token_count": 1634
} | 361 |
# Token classification
## PyTorch version, no Trainer
Fine-tuning (m)LUKE for token classification task such as Named Entity Recognition (NER), Parts-of-speech
tagging (POS) or phrase extraction (CHUNKS). You can easily
customize it to your needs if you need extra processing on your datasets.
It will either run on a... | transformers/examples/research_projects/luke/README.md/0 | {
"file_path": "transformers/examples/research_projects/luke/README.md",
"repo_id": "transformers",
"token_count": 667
} | 362 |
# coding=utf-8
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) 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... | transformers/examples/research_projects/mm-imdb/run_mmimdb.py/0 | {
"file_path": "transformers/examples/research_projects/mm-imdb/run_mmimdb.py",
"repo_id": "transformers",
"token_count": 10119
} | 363 |
import copy
import itertools
from typing import List, Optional, Tuple
import torch
import torch.nn.functional as F
from transformers import BartConfig
from transformers.generation import GenerationMixin
def _convert_past_list_to_tuple(past_key_values):
"""
In Bart model, the type of past_key_values is tuple... | transformers/examples/research_projects/onnx/summarization/bart_onnx/generation_onnx.py/0 | {
"file_path": "transformers/examples/research_projects/onnx/summarization/bart_onnx/generation_onnx.py",
"repo_id": "transformers",
"token_count": 15163
} | 364 |
#! /usr/bin/env python3
# coding=utf-8
# Copyright (c) 2019 Uber Technologies, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | transformers/examples/research_projects/pplm/run_pplm_discrim_train.py/0 | {
"file_path": "transformers/examples/research_projects/pplm/run_pplm_discrim_train.py",
"repo_id": "transformers",
"token_count": 8849
} | 365 |
#!/usr/bin/env python3
import argparse
import re
from typing import Dict
import torch
from datasets import Audio, Dataset, load_dataset, load_metric
from transformers import AutoFeatureExtractor, pipeline
def log_results(result: Dataset, args: Dict[str, str]):
"""DO NOT CHANGE. This function computes and logs t... | transformers/examples/research_projects/robust-speech-event/eval.py/0 | {
"file_path": "transformers/examples/research_projects/robust-speech-event/eval.py",
"repo_id": "transformers",
"token_count": 1852
} | 366 |
#!/usr/bin/env bash
export PYTHONPATH="../":"${PYTHONPATH}"
export WANDB_PROJECT=dmar
export MAX_LEN=128
python finetune.py \
--learning_rate=3e-4 \
--do_train \
--do_predict \
--fp16 \
--val_check_interval 0.25 \
--data_dir $ENRO_DIR \
--max_source_length $MAX_LEN --max_target_length $MAX_LEN --val_max_t... | transformers/examples/research_projects/seq2seq-distillation/distil_marian_no_teacher.sh/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/distil_marian_no_teacher.sh",
"repo_id": "transformers",
"token_count": 274
} | 367 |
#!/usr/bin/env bash
export PYTHONPATH="../":"${PYTHONPATH}"
python finetune.py \
--learning_rate=3e-5 \
--fp16 \
--do_train \
--val_check_interval=0.25 \
--adam_eps 1e-06 \
--num_train_epochs 6 --src_lang en_XX --tgt_lang ro_RO \
--data_dir $ENRO_DIR \
--max_source_length $MAX_LEN --max... | transformers/examples/research_projects/seq2seq-distillation/train_mbart_cc25_enro.sh/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/train_mbart_cc25_enro.sh",
"repo_id": "transformers",
"token_count": 273
} | 368 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2022 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... | transformers/examples/research_projects/xtreme-s/run_xtreme_s.py/0 | {
"file_path": "transformers/examples/research_projects/xtreme-s/run_xtreme_s.py",
"repo_id": "transformers",
"token_count": 16446
} | 369 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2023 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... | transformers/examples/tensorflow/language-modeling-tpu/train_unigram.py/0 | {
"file_path": "transformers/examples/tensorflow/language-modeling-tpu/train_unigram.py",
"repo_id": "transformers",
"token_count": 1672
} | 370 |
<!---
Copyright 2021 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 ... | transformers/examples/tensorflow/text-classification/README.md/0 | {
"file_path": "transformers/examples/tensorflow/text-classification/README.md",
"repo_id": "transformers",
"token_count": 1693
} | 371 |
#!/usr/bin/env python
#
# This a `torch.distributed` diagnostics script that checks that all GPUs in the cluster (one or
# many nodes) can talk to each other via nccl and allocate gpu memory.
#
# To run first adjust the number of processes and nodes:
#
# python -m torch.distributed.run --nproc_per_node 2 --nnodes 1 to... | transformers/scripts/distributed/torch-distributed-gpu-test.py/0 | {
"file_path": "transformers/scripts/distributed/torch-distributed-gpu-test.py",
"repo_id": "transformers",
"token_count": 1240
} | 372 |
<!---
Copyright 2020 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 ... | transformers/scripts/tatoeba/README.md/0 | {
"file_path": "transformers/scripts/tatoeba/README.md",
"repo_id": "transformers",
"token_count": 761
} | 373 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/L... | transformers/src/transformers/agents/python_interpreter.py/0 | {
"file_path": "transformers/src/transformers/agents/python_interpreter.py",
"repo_id": "transformers",
"token_count": 15397
} | 374 |
# Copyright 2020 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... | transformers/src/transformers/commands/serving.py/0 | {
"file_path": "transformers/src/transformers/commands/serving.py",
"repo_id": "transformers",
"token_count": 3477
} | 375 |
# Copyright 2020 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... | transformers/src/transformers/data/metrics/squad_metrics.py/0 | {
"file_path": "transformers/src/transformers/data/metrics/squad_metrics.py",
"repo_id": "transformers",
"token_count": 13819
} | 376 |
# coding=utf-8
# Copyright 2023 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... | transformers/src/transformers/generation/candidate_generator.py/0 | {
"file_path": "transformers/src/transformers/generation/candidate_generator.py",
"repo_id": "transformers",
"token_count": 17929
} | 377 |
# coding=utf-8
# Copyright 2022 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... | transformers/src/transformers/image_transforms.py/0 | {
"file_path": "transformers/src/transformers/image_transforms.py",
"repo_id": "transformers",
"token_count": 14690
} | 378 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/integrations/higgs.py/0 | {
"file_path": "transformers/src/transformers/integrations/higgs.py",
"repo_id": "transformers",
"token_count": 18027
} | 379 |
#define WARP_SIZE 32
#define FULL_MASK 0xffffffff
#define OPTIMAL_THREADS 256
__global__ void index_max_cuda_kernel(
float *index_vals, // [batch_size, 32, num_block]
int *indices, // [batch_size, num_block]
float *max_vals, // [batch_size, A_num_block * 32]
float *max_vals_scatter, //... | transformers/src/transformers/kernels/mra/cuda_kernel.h/0 | {
"file_path": "transformers/src/transformers/kernels/mra/cuda_kernel.h",
"repo_id": "transformers",
"token_count": 729
} | 380 |
import torch
import torch.nn as nn
from ..image_transforms import center_to_corners_format
from ..utils import is_scipy_available
from .loss_for_object_detection import (
HungarianMatcher,
ImageLoss,
_set_aux_loss,
generalized_box_iou,
sigmoid_focal_loss,
)
if is_scipy_available():
from scipy... | transformers/src/transformers/loss/loss_deformable_detr.py/0 | {
"file_path": "transformers/src/transformers/loss/loss_deformable_detr.py",
"repo_id": "transformers",
"token_count": 3043
} | 381 |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors, Facebook AI Research authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the L... | transformers/src/transformers/modeling_utils.py/0 | {
"file_path": "transformers/src/transformers/modeling_utils.py",
"repo_id": "transformers",
"token_count": 129556
} | 382 |
# coding=utf-8
# Copyright 2022 WenXiang ZhongzhiCheng LedellWu LiuGuang BoWenZhang 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
#
# ... | transformers/src/transformers/models/altclip/configuration_altclip.py/0 | {
"file_path": "transformers/src/transformers/models/altclip/configuration_altclip.py",
"repo_id": "transformers",
"token_count": 7354
} | 383 |
# coding=utf-8
# Copyright 2021 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... | transformers/src/transformers/models/auto/auto_factory.py/0 | {
"file_path": "transformers/src/transformers/models/auto/auto_factory.py",
"repo_id": "transformers",
"token_count": 17870
} | 384 |
# Copyright 2022 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... | transformers/src/transformers/models/bert/convert_bert_token_dropping_original_tf2_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/bert/convert_bert_token_dropping_original_tf2_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 3033
} | 385 |
# coding=utf-8
# Copyright 2021 Google Research 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
#
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# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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#
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# You may obtain a copy of the License at
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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# You may obtain a copy of the License at
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# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# You may obtain a copy of the License at
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# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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# coding=utf-8
# Copyright 2022 Microsoft, clefourrier and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
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# You may obtain a copy of the License at
#
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# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
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# Copyright 2022 Microsoft Research and The HuggingFace Inc. team. All rights reserved.
#
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# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
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# 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
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# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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# Copyright 2021 AlQuraishi Laboratory
# Copyright 2021 DeepMind Technologies Limited
#
# 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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# Copyright 2023 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 r... | transformers/src/transformers/models/fastspeech2_conformer/convert_fastspeech2_conformer_original_pytorch_checkpoint_to_pytorch.py/0 | {
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# Copyright 2022 Meta Platforms authors and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
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#
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# 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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#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requi... | transformers/src/transformers/models/got_ocr2/modular_got_ocr2.py/0 | {
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# Copyright 2021 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
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# coding=utf-8
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#
# 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://ww... | transformers/src/transformers/models/herbert/tokenization_herbert.py/0 | {
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# coding=utf-8
# Copyright 2021 The I-BERT Authors (Sehoon Kim, Amir Gholami, Zhewei Yao,
# Michael Mahoney, Kurt Keutzer - UC Berkeley) and The HuggingFace Inc. team.
# Copyright (c) 20121, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use t... | transformers/src/transformers/models/ibert/quant_modules.py/0 | {
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#
# 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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#
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# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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#
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# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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#
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors, The HuggingFace Inc. team, and the
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# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
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# Copyright 2022 Meta Platforms, Inc.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
#
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# Copyright 2020 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
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# Copyright 2023 Mixtral AI 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/licenses/LICENSE-2.0
#
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#
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# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
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#
# 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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# coding=utf-8
# Copyright 2023 Meta AI 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/licenses/LICENSE-2.0
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# 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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# Unless required by applicable law or agreed to in writing, software
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# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
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# Licensed under the Apache License, Version 2.0 (the "License");
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# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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# Licensed under the Apache License, Version 2.0 (the "License");
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# You may obtain a copy of the License at
#
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# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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#
# 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
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# http://www.apache.org/licenses/LICENSE-2.0
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# 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
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# You may obtain a copy of the License at
#
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# You may obtain a copy of the License at
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#
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