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# coding=utf-8 # Copyright 2020 The Allen Institute for AI team 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...
transformers/src/transformers/models/longformer/configuration_longformer.py/0
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# 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/maskformer/__init__.py/0
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312
# 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/mobilenet_v2/convert_original_tf_checkpoint_to_pytorch.py/0
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313
# coding=utf-8 # Copyright 2018 The HuggingFace Inc. team, Microsoft Corporation. # 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 ...
transformers/src/transformers/models/mpnet/configuration_mpnet.py/0
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314
# coding=utf-8 # Copyright 2020 Mesh TensorFlow authors, 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...
transformers/src/transformers/models/mt5/modeling_tf_mt5.py/0
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315
# 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/LICENSE-2.0 # # Unless r...
transformers/src/transformers/models/nezha/modeling_nezha.py/0
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316
# coding=utf-8 # Copyright 2022 UW-Madison 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 #...
transformers/src/transformers/models/nystromformer/modeling_nystromformer.py/0
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317
# 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/opt/convert_opt_original_pytorch_checkpoint_to_pytorch.py/0
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318
# coding=utf-8 # Copyright 2022, Google 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 ...
transformers/src/transformers/models/pegasus_x/configuration_pegasus_x.py/0
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# coding=utf-8 # Copyright 2023 Microsoft 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/phi/modeling_phi.py/0
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# 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/poolformer/convert_poolformer_original_to_pytorch.py/0
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# coding=utf-8 # Copyright 2023 Authors: Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, # Kaitao Song, Ding Liang, Tong Lu, Ping Luo, Ling Shao 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...
transformers/src/transformers/models/pvt/__init__.py/0
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# coding=utf-8 # Copyright 2020, The RAG 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 # # Unless r...
transformers/src/transformers/models/rag/modeling_tf_rag.py/0
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# coding=utf-8 # 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 # # http://www.apache.org/licenses...
transformers/src/transformers/models/regnet/configuration_regnet.py/0
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# coding=utf-8 # Copyright 2023 HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law...
transformers/src/transformers/models/resnet/modeling_flax_resnet.py/0
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# 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/models/rwkv/convert_rwkv_checkpoint_to_hf.py/0
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# 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/LICENSE-2.0 # # Unless r...
transformers/src/transformers/models/seamless_m4t/tokenization_seamless_m4t_fast.py/0
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# 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/speech_encoder_decoder/modeling_speech_encoder_decoder.py/0
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# 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/LICENSE-2.0 # # Unless r...
transformers/src/transformers/models/speecht5/convert_hifigan.py/0
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329
# 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/LICENSE-2.0 # # Unless r...
transformers/src/transformers/models/tvlt/feature_extraction_tvlt.py/0
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# coding=utf-8 # Copyright 2021 The Fairseq Authors 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/...
transformers/src/transformers/models/unispeech/modeling_unispeech.py/0
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# 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/videomae/__init__.py/0
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# 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/vit_mae/convert_vit_mae_to_pytorch.py/0
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# coding=utf-8 # Copyright 2023 The Kakao Enterprise Authors 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/...
transformers/src/transformers/models/vits/configuration_vits.py/0
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334
# coding=utf-8 # Copyright 2021 The Fairseq Authors 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/...
transformers/src/transformers/models/wav2vec2/modeling_wav2vec2.py/0
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335
# 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/LICENSE-2.0 # # Unless r...
transformers/src/transformers/models/whisper/tokenization_whisper_fast.py/0
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336
# coding=utf-8 # Copyright 2018 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/xlm/convert_xlm_original_pytorch_checkpoint_to_pytorch.py/0
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337
# 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/xlm_roberta_xl/configuration_xlm_roberta_xl.py/0
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# 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/yolos/convert_yolos_to_pytorch.py/0
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339
# coding=utf-8 # Copyright 2018 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/pipelines/__init__.py/0
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340
import numpy as np import torch from torch.utils.data import Dataset, IterableDataset from ..utils.generic import ModelOutput class PipelineDataset(Dataset): def __init__(self, dataset, process, params): self.dataset = dataset self.process = process self.params = params def __len__(s...
transformers/src/transformers/pipelines/pt_utils.py/0
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341
# coding=utf-8 # Copyright 2020 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/tokenization_utils_base.py/0
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342
#!/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/L...
transformers/src/transformers/tools/text_summarization.py/0
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# This file is autogenerated by the command `make fix-copies`, do not edit. from ..utils import requires_backends LAYOUTLM_V2_PRETRAINED_MODEL_ARCHIVE_LIST = None class LayoutLMv2Model: def __init__(self, *args, **kwargs): requires_backends(self, ["detectron2"]) @classmethod def from_pretrained...
transformers/src/transformers/utils/dummy_detectron2_objects.py/0
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# 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/utils/hub.py/0
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345
{"[MASK]": 0, "[UNK]": 1, "[PAD]": 2, "DUMMY": 3, "DUMMY2": 4, "[MASK2]": 5}
transformers/tests/fixtures/test_entity_vocab.json/0
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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 # # Unless required by applicabl...
transformers/tests/models/auto/test_modeling_flax_auto.py/0
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# coding=utf-8 # Copyright 2020 Ecole Polytechnique 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 re...
transformers/tests/models/barthez/test_tokenization_barthez.py/0
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# 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/LICENSE-2.0 # # Unless ...
transformers/tests/models/blenderbot/test_modeling_blenderbot.py/0
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# coding=utf-8 # 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 requir...
transformers/tests/models/camembert/test_modeling_tf_camembert.py/0
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import inspect import tempfile import unittest import numpy as np import transformers from transformers import CLIPConfig, CLIPTextConfig, CLIPVisionConfig, is_flax_available, is_torch_available from transformers.testing_utils import is_pt_flax_cross_test, require_flax, slow from ...test_modeling_flax_common import ...
transformers/tests/models/clip/test_modeling_flax_clip.py/0
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# coding=utf-8 # 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 requir...
transformers/tests/models/codegen/test_tokenization_codegen.py/0
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352
# coding=utf-8 # Copyright 2018 Microsoft 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 # # Unless ...
transformers/tests/models/deberta/test_modeling_deberta.py/0
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# coding=utf-8 # 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 requir...
transformers/tests/models/fsmt/test_tokenization_fsmt.py/0
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# 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 applicabl...
transformers/tests/models/gpt2/test_modeling_flax_gpt2.py/0
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355
# 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/LICENSE-2.0 # # Unless r...
transformers/tests/models/hubert/test_modeling_hubert.py/0
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# coding=utf-8 # 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 requir...
transformers/tests/models/lilt/test_modeling_lilt.py/0
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357
# 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-2.0 # # Unless requir...
transformers/tests/models/luke/test_tokenization_luke.py/0
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358
# 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-2.0 # # Unless requir...
transformers/tests/models/mluke/test_tokenization_mluke.py/0
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# 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/LICENSE-2.0 # # Unless r...
transformers/tests/models/mobilevitv2/test_modeling_mobilevitv2.py/0
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# 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/LICENSE-2.0 # # Unless r...
transformers/tests/models/poolformer/test_modeling_poolformer.py/0
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# 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/LICENSE-2.0 # # Unless r...
transformers/tests/models/regnet/test_modeling_tf_regnet.py/0
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# coding=utf-8 # 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 requir...
transformers/tests/models/roberta_prelayernorm/test_modeling_roberta_prelayernorm.py/0
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# coding=utf-8 # Copyright 2021-2023 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law ...
transformers/tests/models/speecht5/test_feature_extraction_speecht5.py/0
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# 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/LICENSE-2.0 # # Unless r...
transformers/tests/models/swin2sr/test_modeling_swin2sr.py/0
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# 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/LICENSE-2.0 # # Unless r...
transformers/tests/models/vilt/test_modeling_vilt.py/0
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# 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 applicabl...
transformers/tests/models/vit/test_modeling_flax_vit.py/0
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# 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/LICENSE-2.0 # # Unless r...
transformers/tests/models/vits/test_modeling_vits.py/0
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# 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/LICENSE-2.0 # # Unless r...
transformers/tests/models/wav2vec2_conformer/test_modeling_wav2vec2_conformer.py/0
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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 # # Unless required by applicabl...
transformers/tests/optimization/test_optimization_tf.py/0
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# 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 applicabl...
transformers/tests/pipelines/test_pipelines_object_detection.py/0
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# coding=utf-8 # Copyright 2023 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
transformers/tests/test_image_processing_utils.py/0
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# coding=utf-8 # Copyright 2018 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/tests/trainer/test_trainer.py/0
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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 # # Unless required by applicabl...
transformers/tests/utils/test_file_utils.py/0
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# 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/utils/check_config_attributes.py/0
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# 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/utils/split_model_tests.py/0
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import json import os from ghapi.all import GhApi FOLDER_STRING = os.environ.get("FOLDER_STRING", "") folder = f"benchmark/trl/{FOLDER_STRING}" host_url = f"https://huggingface.co/datasets/trl-internal-testing/example-images/resolve/main/images/benchmark/{FOLDER_STRING}" # Create a GitHub API instance github_contex...
trl/benchmark/post_github_comment.py/0
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# Use model after training Once you have trained a model using either the SFTTrainer, PPOTrainer, or DPOTrainer, you will have a fine-tuned model that can be used for text generation. In this section, we'll walk through the process of loading the fine-tuned model and generating text. If you need to run an inference se...
trl/docs/source/use_model.md/0
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from dataclasses import dataclass, field from typing import Any, Dict, List, Optional, Union import evaluate import numpy as np import torch import torch.nn as nn from datasets import load_dataset from peft import LoraConfig, TaskType, get_peft_model from transformers import ( AutoModelForSequenceClassification, ...
trl/examples/research_projects/stack_llama/scripts/reward_modeling.py/0
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# 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/LICENSE-2.0 # # Unless r...
trl/examples/scripts/ppo_multi_adapter.py/0
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# 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...
trl/tests/test_core.py/0
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# flake8: noqa __version__ = "0.7.11.dev0" from .core import set_seed from .environment import TextEnvironment, TextHistory from .extras import BestOfNSampler from .import_utils import ( is_bitsandbytes_available, is_diffusers_available, is_npu_available, is_peft_available, is_wandb_available, ...
trl/trl/__init__.py/0
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382
# Copyright 2023 DDPO-pytorch authors (Kevin Black), metric-space, 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/lic...
trl/trl/trainer/ddpo_trainer.py/0
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383
<!--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...
accelerate/docs/source/basic_tutorials/launch.md/0
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0
<!--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...
accelerate/docs/source/usage_guides/distributed_inference.md/0
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1
# 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...
accelerate/examples/by_feature/automatic_gradient_accumulation.py/0
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2
# 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 applicabl...
accelerate/setup.py/0
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#!/usr/bin/env python # 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 # # Unles...
accelerate/src/accelerate/commands/estimate.py/0
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4
# 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 applicabl...
accelerate/src/accelerate/optimizer.py/0
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5
# 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...
accelerate/src/accelerate/test_utils/scripts/test_sync.py/0
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# 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...
accelerate/src/accelerate/utils/offload.py/0
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7
compute_environment: LOCAL_MACHINE deepspeed_config: {} distributed_type: 'NO' fsdp_config: {} machine_rank: 0 main_process_ip: null main_process_port: null main_training_function: main mixed_precision: 'no' num_machines: 1 num_processes: 1 use_cpu: false
accelerate/tests/test_configs/0_11_0.yaml/0
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# 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...
accelerate/tests/test_optimizer.py/0
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9
# Model arguments model_name_or_path: alignment-handbook/zephyr-7b-sft-qlora torch_dtype: float16 # LoRA arguments use_peft: true load_in_4bit: true lora_r: 16 lora_alpha: 16 lora_dropout: 0.05 lora_target_modules: - q_proj - k_proj - v_proj - o_proj - gate_proj - up_proj - down_proj # Data training arguments datase...
alignment-handbook/recipes/zephyr-7b-beta/dpo/config_qlora.yaml/0
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# Copyright 2023 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
alignment-handbook/tests/test_configs.py/0
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11
[book] authors = ["Nicolas Patry"] language = "en" multilingual = false src = "src" title = "Candle Documentation"
candle/candle-book/book.toml/0
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# Advanced Cuda usage
candle/candle-book/src/inference/cuda/README.md/0
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use crate::benchmarks::{BenchDevice, BenchDeviceHandler}; use candle_core::{DType, Device, Tensor}; use criterion::{black_box, criterion_group, Criterion, Throughput}; use std::time::Instant; fn run(a: &Tensor) { a.affine(12.34, 56.78).unwrap(); } fn run_affine_benchmark(c: &mut Criterion, device: &Device, dtype:...
candle/candle-core/benches/benchmarks/affine.rs/0
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pub trait VecOps: num_traits::NumAssign + Copy { fn min(self, rhs: Self) -> Self; fn max(self, rhs: Self) -> Self; /// Dot-product of two vectors. /// /// # Safety /// /// The length of `lhs` and `rhs` have to be at least `len`. `res` has to point to a valid /// element. #[inline(al...
candle/candle-core/src/cpu/kernels.rs/0
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use crate::backend::{BackendDevice, BackendStorage}; use crate::conv::{ParamsConv1D, ParamsConv2D, ParamsConvTranspose1D, ParamsConvTranspose2D}; use crate::op::{BinaryOpT, CmpOp, ReduceOp, UnaryOpT}; use crate::{CpuStorage, DType, Layout, Result, Shape}; use candle_metal_kernels; use candle_metal_kernels::Kernels; use...
candle/candle-core/src/metal_backend.rs/0
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//! The shape of a tensor is a tuple with the size of each of its dimensions. #![allow(clippy::redundant_closure_call)] use crate::{Error, Result}; #[derive(Clone, PartialEq, Eq)] pub struct Shape(Vec<usize>); pub const SCALAR: Shape = Shape(vec![]); impl std::fmt::Debug for Shape { fn fmt(&self, f: &mut std::fm...
candle/candle-core/src/shape.rs/0
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use candle_core::{DType, Result, Tensor}; #[test] fn npy() -> Result<()> { let npy = Tensor::read_npy("tests/test.npy")?; assert_eq!( npy.to_dtype(DType::U8)?.to_vec1::<u8>()?, [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] ); Ok(()) } #[test] fn npz() -> Result<()> { let npz = Tensor::read_npz("t...
candle/candle-core/tests/serialization_tests.rs/0
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#![allow(unused)] use anyhow::{Context, Result}; use std::io::Write; use std::path::PathBuf; struct KernelDirectories { kernel_glob: &'static str, rust_target: &'static str, include_dirs: &'static [&'static str], } const KERNEL_DIRS: [KernelDirectories; 1] = [KernelDirectories { kernel_glob: "examples...
candle/candle-examples/build.rs/0
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//! EfficientNet implementation. //! //! https://arxiv.org/abs/1905.11946 #[cfg(feature = "mkl")] extern crate intel_mkl_src; #[cfg(feature = "accelerate")] extern crate accelerate_src; use candle::{DType, IndexOp, D}; use candle_nn::{Module, VarBuilder}; use candle_transformers::models::efficientnet::{EfficientNet,...
candle/candle-examples/examples/efficientnet/main.rs/0
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# candle-mistral: 7b LLM with Apache 2.0 licensed weights Mistral-7B-v0.1 is a pretrained generative LLM with 7 billion parameters. It outperforms all the publicly available 13b models as of 2023-09-28. Weights (and the original Python model code) are released under the permissive Apache 2.0 license. - [Blog post](ht...
candle/candle-examples/examples/mistral/README.md/0
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# candle-quantized-t5 ## Seq2Seq example This example uses a quantized version of the t5 model. ```bash $ cargo run --example quantized-t5 --release -- --prompt "translate to German: A beautiful candle." ... Eine schöne Kerze. ``` ## Generating Quantized weight files The weight file is automatically retrieved fro...
candle/candle-examples/examples/quantized-t5/README.md/0
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# candle-resnet A candle implementation of inference using a pre-trained [ResNet](https://arxiv.org/abs/1512.03385). This uses a classification head trained on the ImageNet dataset and returns the probabilities for the top-5 classes. ## Running an example ``` $ cargo run --example resnet --release -- --image tiger.j...
candle/candle-examples/examples/resnet/README.md/0
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use image::{DynamicImage, ImageBuffer}; use serde::Deserialize; use std::collections::HashMap; use candle::{DType, Device, Result, Tensor}; #[derive(Debug, Clone, PartialEq, Deserialize)] pub struct ProcessorConfig { do_resize: bool, height: u32, width: u32, do_rescale: bool, do_normalize: bool, ...
candle/candle-examples/examples/trocr/image_processor.rs/0
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[package] name = "candle-flash-attn" version = "0.3.3" edition = "2021" description = "Flash attention layer for the candle ML framework." repository = "https://github.com/huggingface/candle" keywords = ["blas", "tensor", "machine-learning"] categories = ["science"] license = "MIT OR Apache-2.0" readme = "README.md" ...
candle/candle-flash-attn/Cargo.toml/0
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mod ffi; use candle::backend::BackendStorage; use candle::cuda_backend::cudarc::driver::DevicePtr; use candle::cuda_backend::WrapErr; use candle::{CpuStorage, DType, Layout, Result, Shape, Tensor}; use half::{bf16, f16}; pub struct FlashAttn { pub softmax_scale: f32, pub alibi_slopes: Option<Tensor>, pub ...
candle/candle-flash-attn/src/lib.rs/0
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