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- sections:
- local: index
title: 🤗 Transformers
- local: quicktour
title: 둘러보기
- local: installation
title: 설치방법
title: 시작하기
- sections:
- local: pipeline_tutorial
title: Pipeline으로 추론하기
- local: autoclass_tutorial
title: AutoClass로 사전 학습된 인스턴스 로드하기
- local: preprocessing
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# Cohere[[cohere]]
## 개요[[overview]]
The Cohere Command-R 모델은 Cohere팀이 [Command-R: 프로덕션 규모의 검색 증강 생성](https://txt.cohere.com/command-r/)라는 블로그 포스트에서 소개 되었습니다.
논문 초록:
*Command-R은 기업의 프로덕션 규모 AI를 가능하게 하기 위해 RAG(검색 증강 생성)와 도구 사용을 목표로 하는 확장 가능한 생성 모델입니다. 오늘 우리는 대규모 프로덕션 워크로드를 목표로 하는 새로운 LLM인 Command-R을 소개합니다. Command-R... | transformers/docs/source/ko/model_doc/cohere.md/0 | {
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<!---
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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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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/deepspeed.md/0 | {
"file_path": "transformers/docs/source/zh/main_classes/deepspeed.md",
"repo_id": "transformers",
"token_count": 49160
} | 376 |
<!--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 applicable law or agreed... | transformers/docs/source/zh/multilingual.md/0 | {
"file_path": "transformers/docs/source/zh/multilingual.md",
"repo_id": "transformers",
"token_count": 4377
} | 377 |
<!--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... | transformers/docs/source/zh/tf_xla.md/0 | {
"file_path": "transformers/docs/source/zh/tf_xla.md",
"repo_id": "transformers",
"token_count": 4549
} | 378 |
#!/usr/bin/env python3
import time
from argparse import ArgumentParser
import jax
import numpy as np
from transformers import BertConfig, FlaxBertModel
parser = ArgumentParser()
parser.add_argument("--precision", type=str, choices=["float32", "bfloat16"], default="float32")
args = parser.parse_args()
dtype = jax.n... | transformers/examples/flax/language-modeling/run_bert_flax.py/0 | {
"file_path": "transformers/examples/flax/language-modeling/run_bert_flax.py",
"repo_id": "transformers",
"token_count": 526
} | 379 |
<!---
Copyright 2021 The Google Flax Team Authors and 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 r... | transformers/examples/flax/text-classification/README.md/0 | {
"file_path": "transformers/examples/flax/text-classification/README.md",
"repo_id": "transformers",
"token_count": 2760
} | 380 |
import argparse
import logging
import os
from pathlib import Path
from typing import Any, Dict
import pytorch_lightning as pl
from pytorch_lightning.utilities import rank_zero_info
from transformers import (
AdamW,
AutoConfig,
AutoModel,
AutoModelForPreTraining,
AutoModelForQuestionAnswering,
... | transformers/examples/legacy/pytorch-lightning/lightning_base.py/0 | {
"file_path": "transformers/examples/legacy/pytorch-lightning/lightning_base.py",
"repo_id": "transformers",
"token_count": 6603
} | 381 |
<!---
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/examples/legacy/seq2seq/README.md/0 | {
"file_path": "transformers/examples/legacy/seq2seq/README.md",
"repo_id": "transformers",
"token_count": 5089
} | 382 |
### Motivation
Without processing, english-> romanian mbart-large-en-ro gets BLEU score 26.8 on the WMT data.
With post processing, it can score 37..
Here is the postprocessing code, stolen from @mjpost in this [issue](https://github.com/pytorch/fairseq/issues/1758)
### Instructions
Note: You need to have your test_... | transformers/examples/legacy/seq2seq/romanian_postprocessing.md/0 | {
"file_path": "transformers/examples/legacy/seq2seq/romanian_postprocessing.md",
"repo_id": "transformers",
"token_count": 723
} | 383 |
import logging
import os
from typing import List, TextIO, Union
from conllu import parse_incr
from utils_ner import InputExample, Split, TokenClassificationTask
logger = logging.getLogger(__name__)
class NER(TokenClassificationTask):
def __init__(self, label_idx=-1):
# in NER datasets, the last column ... | transformers/examples/legacy/token-classification/tasks.py/0 | {
"file_path": "transformers/examples/legacy/token-classification/tasks.py",
"repo_id": "transformers",
"token_count": 3163
} | 384 |
import torch.nn as nn
from transformers.models.bert.modeling_bert import BertEmbeddings, BertModel
class RobertaEmbeddings(BertEmbeddings):
def __init__(self, config):
super().__init__(config)
self.pad_token_id = config.pad_token_id
self.position_embeddings = nn.Embedding(
con... | transformers/examples/modular-transformers/modular_roberta.py/0 | {
"file_path": "transformers/examples/modular-transformers/modular_roberta.py",
"repo_id": "transformers",
"token_count": 215
} | 385 |
<!---
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 applicable law or ... | transformers/examples/pytorch/image-pretraining/README.md/0 | {
"file_path": "transformers/examples/pytorch/image-pretraining/README.md",
"repo_id": "transformers",
"token_count": 3469
} | 386 |
#!/usr/bin/env python
# coding=utf-8
# 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/LI... | transformers/examples/pytorch/language-modeling/run_mlm_no_trainer.py/0 | {
"file_path": "transformers/examples/pytorch/language-modeling/run_mlm_no_trainer.py",
"repo_id": "transformers",
"token_count": 13824
} | 387 |
#!/usr/bin/env python
# coding=utf-8
# 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/LI... | transformers/examples/pytorch/question-answering/run_qa_beam_search_no_trainer.py/0 | {
"file_path": "transformers/examples/pytorch/question-answering/run_qa_beam_search_no_trainer.py",
"repo_id": "transformers",
"token_count": 20571
} | 388 |
#!/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/pytorch/text-generation/run_generation.py/0 | {
"file_path": "transformers/examples/pytorch/text-generation/run_generation.py",
"repo_id": "transformers",
"token_count": 6876
} | 389 |
## Adversarial evaluation of model performances
Here is an example on evaluating a model using adversarial evaluation of natural language inference with the Heuristic Analysis for NLI Systems (HANS) dataset [McCoy et al., 2019](https://arxiv.org/abs/1902.01007). The example was gracefully provided by [Nafise Sadat Moo... | transformers/examples/research_projects/adversarial/README.md/0 | {
"file_path": "transformers/examples/research_projects/adversarial/README.md",
"repo_id": "transformers",
"token_count": 518
} | 390 |
from arguments import InitializationArguments
from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer, HfArgumentParser
# Configuration
parser = HfArgumentParser(InitializationArguments)
args = parser.parse_args()
# Load codeparrot tokenizer trained for Python code tokenization
tokenizer = AutoToke... | transformers/examples/research_projects/codeparrot/scripts/initialize_model.py/0 | {
"file_path": "transformers/examples/research_projects/codeparrot/scripts/initialize_model.py",
"repo_id": "transformers",
"token_count": 296
} | 391 |
from __future__ import absolute_import, division, print_function, unicode_literals
from torch import nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers import RobertaConfig
from transformers.file_utils import add_start_docstrings, add_start_docstrings_to_model_forward
from transformers.models.roberta... | transformers/examples/research_projects/deebert/src/modeling_highway_roberta.py/0 | {
"file_path": "transformers/examples/research_projects/deebert/src/modeling_highway_roberta.py",
"repo_id": "transformers",
"token_count": 3077
} | 392 |
# Copyright 2022 - Intel Corp. All rights reserved.
# Authors: Mayank Kumar Raunak, Javier Turek, Nicole Beckage
"""
Implementation of a new method for fine-tuning transformer models that we call
Information Gain Filtration 'IGF' on WikiText data set and compared the results
with the standard fine-tuning method
Steps... | transformers/examples/research_projects/information-gain-filtration/run_clm_igf.py/0 | {
"file_path": "transformers/examples/research_projects/information-gain-filtration/run_clm_igf.py",
"repo_id": "transformers",
"token_count": 6317
} | 393 |
#!/usr/bin/env python
# coding=utf-8
# 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-... | transformers/examples/research_projects/jax-projects/hybrid_clip/run_hybrid_clip.py/0 | {
"file_path": "transformers/examples/research_projects/jax-projects/hybrid_clip/run_hybrid_clip.py",
"repo_id": "transformers",
"token_count": 8809
} | 394 |
# LXMERT DEMO
1. make a virtualenv: ``virtualenv venv`` and activate ``source venv/bin/activate``
2. install reqs: ``pip install -r ./requirements.txt``
3. usage is as shown in demo.ipynb
| transformers/examples/research_projects/lxmert/README.md/0 | {
"file_path": "transformers/examples/research_projects/lxmert/README.md",
"repo_id": "transformers",
"token_count": 65
} | 395 |
<jupyter_start><jupyter_text>Saving PruneBERTThis notebook aims at showcasing how we can leverage standard tools to save (and load) an extremely sparse model fine-pruned with [movement pruning](https://arxiv.org/abs/2005.07683) (or any other unstructured pruning mehtod).In this example, we used BERT (base-uncased, but ... | transformers/examples/research_projects/movement-pruning/Saving_PruneBERT.ipynb/0 | {
"file_path": "transformers/examples/research_projects/movement-pruning/Saving_PruneBERT.ipynb",
"repo_id": "transformers",
"token_count": 5477
} | 396 |
#!/usr/bin/env python
# coding=utf-8
# Copyright The HuggingFace Team 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.ap... | transformers/examples/research_projects/onnx/summarization/run_onnx_exporter.py/0 | {
"file_path": "transformers/examples/research_projects/onnx/summarization/run_onnx_exporter.py",
"repo_id": "transformers",
"token_count": 2860
} | 397 |
# coding=utf-8
# Copyright 2021 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.apache.org/licenses/LICENSE-2.0
#
# Unless required... | transformers/examples/research_projects/quantization-qdqbert/evaluate-hf-trt-qa.py/0 | {
"file_path": "transformers/examples/research_projects/quantization-qdqbert/evaluate-hf-trt-qa.py",
"repo_id": "transformers",
"token_count": 6398
} | 398 |
What does Moses' rod turn into ?
Who is Aron?
Where did Moses grow up ?
What happens at the command of the Moses ?
Who manages the Pokémon ?
Who owned the Pokémon trademark ?
What else include in Pokémon franchise ?
How many seasons in Pokémon animme series ?
| transformers/examples/research_projects/rag-end2end-retriever/test_run/dummy-train-data/test.source/0 | {
"file_path": "transformers/examples/research_projects/rag-end2end-retriever/test_run/dummy-train-data/test.source",
"repo_id": "transformers",
"token_count": 63
} | 399 |
import logging
import random
import ray
from transformers import RagConfig, RagRetriever, RagTokenizer
from transformers.models.rag.retrieval_rag import CustomHFIndex
logger = logging.getLogger(__name__)
class RayRetriever:
def __init__(self):
self.initialized = False
def create_rag_retriever(sel... | transformers/examples/research_projects/rag/distributed_ray_retriever.py/0 | {
"file_path": "transformers/examples/research_projects/rag/distributed_ray_retriever.py",
"repo_id": "transformers",
"token_count": 2886
} | 400 |
# Self-training
This is an implementation of the self-training algorithm (without task augmentation) in the [EMNLP 2021](https://2021.emnlp.org/) paper: [STraTA: Self-Training with Task Augmentation for Better Few-shot Learning](https://arxiv.org/abs/2109.06270). Please check out https://github.com/google-research/goo... | transformers/examples/research_projects/self-training-text-classification/README.md/0 | {
"file_path": "transformers/examples/research_projects/self-training-text-classification/README.md",
"repo_id": "transformers",
"token_count": 2130
} | 401 |
#!/usr/bin/env python
import argparse
import glob
import logging
import os
import sys
import time
from collections import defaultdict
from pathlib import Path
from typing import Dict, List, Tuple
import numpy as np
import pytorch_lightning as pl
import torch
from callbacks import Seq2SeqLoggingCallback, get_checkpoin... | transformers/examples/research_projects/seq2seq-distillation/finetune.py/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/finetune.py",
"repo_id": "transformers",
"token_count": 8523
} | 402 |
# coding=utf-8
# Copyright 2024 Google DeepMind.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | transformers/examples/research_projects/synthid_text/detector_training.py/0 | {
"file_path": "transformers/examples/research_projects/synthid_text/detector_training.py",
"repo_id": "transformers",
"token_count": 8012
} | 403 |
#!/usr/bin/env bash
python run_asr.py \
--output_dir="./wav2vec2-large-lv60-100h" \
--num_train_epochs="30" \
--per_device_train_batch_size="16" \
--per_device_eval_batch_size="16" \
--eval_strategy="steps" \
--save_total_limit="3" \
--save_steps="500" \
--eval_steps="100" \
--logging_steps="50" \
--learning_rate="5e-4... | transformers/examples/research_projects/wav2vec2/finetune_large_lv60_100.sh/0 | {
"file_path": "transformers/examples/research_projects/wav2vec2/finetune_large_lv60_100.sh",
"repo_id": "transformers",
"token_count": 254
} | 404 |
#!/usr/bin/env python
# coding=utf-8
# 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/LI... | transformers/examples/run_on_remote.py/0 | {
"file_path": "transformers/examples/run_on_remote.py",
"repo_id": "transformers",
"token_count": 1321
} | 405 |
#!/usr/bin/env python
# coding=utf-8
# 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/LI... | transformers/examples/tensorflow/language-modeling/run_clm.py/0 | {
"file_path": "transformers/examples/tensorflow/language-modeling/run_clm.py",
"repo_id": "transformers",
"token_count": 12113
} | 406 |
#!/usr/bin/env python
# coding=utf-8
# 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/LI... | transformers/examples/tensorflow/text-classification/run_text_classification.py/0 | {
"file_path": "transformers/examples/tensorflow/text-classification/run_text_classification.py",
"repo_id": "transformers",
"token_count": 10596
} | 407 |
#!/usr/bin/env bash
# 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 r... | transformers/scripts/fsmt/convert-facebook-wmt19.sh/0 | {
"file_path": "transformers/scripts/fsmt/convert-facebook-wmt19.sh",
"repo_id": "transformers",
"token_count": 1121
} | 408 |
# 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/__init__.py/0 | {
"file_path": "transformers/src/transformers/__init__.py",
"repo_id": "transformers",
"token_count": 162406
} | 409 |
#!/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/text_to_speech.py/0 | {
"file_path": "transformers/src/transformers/agents/text_to_speech.py",
"repo_id": "transformers",
"token_count": 892
} | 410 |
# 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/src/transformers/configuration_utils.py/0 | {
"file_path": "transformers/src/transformers/configuration_utils.py",
"repo_id": "transformers",
"token_count": 24092
} | 411 |
# 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/processors/squad.py/0 | {
"file_path": "transformers/src/transformers/data/processors/squad.py",
"repo_id": "transformers",
"token_count": 15587
} | 412 |
# coding=utf-8
# Copyright 2021 The Google AI Flax Team Authors, and The HuggingFace Inc. team.
# Copyright (c) 2020, 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 o... | transformers/src/transformers/generation/flax_utils.py/0 | {
"file_path": "transformers/src/transformers/generation/flax_utils.py",
"repo_id": "transformers",
"token_count": 21986
} | 413 |
# 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/aqlm.py/0 | {
"file_path": "transformers/src/transformers/integrations/aqlm.py",
"repo_id": "transformers",
"token_count": 1868
} | 414 |
from tokenizers import Regex, Tokenizer, decoders, pre_tokenizers, processors
from tokenizers.models import BPE
from transformers import LlamaTokenizerFast
from transformers.convert_slow_tokenizer import bytes_to_unicode
class MistralConverter:
"""
A general tiktoken converter.
"""
def __init__(
... | transformers/src/transformers/integrations/mistral.py/0 | {
"file_path": "transformers/src/transformers/integrations/mistral.py",
"repo_id": "transformers",
"token_count": 1835
} | 415 |
/*!
**************************************************************************************************
* Deformable DETR
* Copyright (c) 2020 SenseTime. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 [see LICENSE for details]
***********************************************************************... | transformers/src/transformers/kernels/deformable_detr/ms_deform_attn.h/0 | {
"file_path": "transformers/src/transformers/kernels/deformable_detr/ms_deform_attn.h",
"repo_id": "transformers",
"token_count": 663
} | 416 |
#include <torch/extension.h>
#include <ATen/ATen.h>
#include "cuda_launch.h"
#include <vector>
std::vector<at::Tensor> index_max(
at::Tensor index_vals,
at::Tensor indices,
int A_num_block,
int B_num_block
) {
return index_max_kernel(
index_vals,
indices,
A_num_block,
B_num_block
);
}
at::... | transformers/src/transformers/kernels/mra/torch_extension.cpp/0 | {
"file_path": "transformers/src/transformers/kernels/mra/torch_extension.cpp",
"repo_id": "transformers",
"token_count": 655
} | 417 |
# 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/loss/loss_utils.py/0 | {
"file_path": "transformers/src/transformers/loss/loss_utils.py",
"repo_id": "transformers",
"token_count": 2181
} | 418 |
# 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/src/transformers/models/albert/configuration_albert.py/0 | {
"file_path": "transformers/src/transformers/models/albert/configuration_albert.py",
"repo_id": "transformers",
"token_count": 3085
} | 419 |
# 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/models/auto/image_processing_auto.py/0 | {
"file_path": "transformers/src/transformers/models/auto/image_processing_auto.py",
"repo_id": "transformers",
"token_count": 13812
} | 420 |
"""Convert Bark checkpoint."""
import argparse
import os
from pathlib import Path
import torch
from bark.generation import _load_model as _bark_load_model
from huggingface_hub import hf_hub_download
from transformers import EncodecConfig, EncodecModel, set_seed
from transformers.models.bark.configuration_bark import... | transformers/src/transformers/models/bark/convert_suno_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/bark/convert_suno_to_hf.py",
"repo_id": "transformers",
"token_count": 3747
} | 421 |
# coding=utf-8
# Copyright 2021 The Google Flax Team Authors and 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
... | transformers/src/transformers/models/big_bird/modeling_flax_big_bird.py/0 | {
"file_path": "transformers/src/transformers/models/big_bird/modeling_flax_big_bird.py",
"repo_id": "transformers",
"token_count": 50896
} | 422 |
# coding=utf-8
# Copyright 2022 Google 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.... | transformers/src/transformers/models/bit/modeling_bit.py/0 | {
"file_path": "transformers/src/transformers/models/bit/modeling_bit.py",
"repo_id": "transformers",
"token_count": 14081
} | 423 |
# coding=utf-8
# Copyright 2022 the Big Science Workshop and 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/license... | transformers/src/transformers/models/bloom/configuration_bloom.py/0 | {
"file_path": "transformers/src/transformers/models/bloom/configuration_bloom.py",
"repo_id": "transformers",
"token_count": 4063
} | 424 |
# coding=utf-8
# Copyright 2018 The T5 authors and HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | transformers/src/transformers/models/byt5/convert_byt5_original_tf_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/byt5/convert_byt5_original_tf_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 735
} | 425 |
# 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/models/clipseg/processing_clipseg.py/0 | {
"file_path": "transformers/src/transformers/models/clipseg/processing_clipseg.py",
"repo_id": "transformers",
"token_count": 3057
} | 426 |
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