text stringlengths 7 318k | id stringlengths 14 166 | metadata dict | __index_level_0__ int64 0 439 |
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# coding=utf-8
# Copyright 2022 Sea AI Lab 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/poolformer/modeling_poolformer.py/0 | {
"file_path": "transformers/src/transformers/models/poolformer/modeling_poolformer.py",
"repo_id": "transformers",
"token_count": 7408
} | 331 |
# 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/realm/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/realm/__init__.py",
"repo_id": "transformers",
"token_count": 1040
} | 332 |
# coding=utf-8
# Copyright 2023 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/regnet/modeling_flax_regnet.py/0 | {
"file_path": "transformers/src/transformers/models/regnet/modeling_flax_regnet.py",
"repo_id": "transformers",
"token_count": 12467
} | 333 |
# 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/sam/configuration_sam.py/0 | {
"file_path": "transformers/src/transformers/models/sam/configuration_sam.py",
"repo_id": "transformers",
"token_count": 5408
} | 334 |
# 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_v2/convert_fairseq2_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/seamless_m4t_v2/convert_fairseq2_to_hf.py",
"repo_id": "transformers",
"token_count": 6572
} | 335 |
# coding=utf-8
# Copyright 2021 ASAPP 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/LICENSE-2... | transformers/src/transformers/models/sew_d/modeling_sew_d.py/0 | {
"file_path": "transformers/src/transformers/models/sew_d/modeling_sew_d.py",
"repo_id": "transformers",
"token_count": 32314
} | 336 |
# 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 required by appl... | transformers/src/transformers/models/speech_to_text/convert_s2t_fairseq_to_tfms.py/0 | {
"file_path": "transformers/src/transformers/models/speech_to_text/convert_s2t_fairseq_to_tfms.py",
"repo_id": "transformers",
"token_count": 1824
} | 337 |
# coding=utf-8
# Copyright 2023 The Fairseq Authors, Microsoft 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
#
# http://www... | transformers/src/transformers/models/speecht5/modeling_speecht5.py/0 | {
"file_path": "transformers/src/transformers/models/speecht5/modeling_speecht5.py",
"repo_id": "transformers",
"token_count": 66586
} | 338 |
# 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/swiftformer/convert_swiftformer_original_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/swiftformer/convert_swiftformer_original_to_hf.py",
"repo_id": "transformers",
"token_count": 2556
} | 339 |
# coding=utf-8
# Copyright 2018 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 required by... | transformers/src/transformers/models/t5/tokenization_t5_fast.py/0 | {
"file_path": "transformers/src/transformers/models/t5/tokenization_t5_fast.py",
"repo_id": "transformers",
"token_count": 4621
} | 340 |
# 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/timesformer/configuration_timesformer.py/0 | {
"file_path": "transformers/src/transformers/models/timesformer/configuration_timesformer.py",
"repo_id": "transformers",
"token_count": 2112
} | 341 |
# 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/tvlt/processing_tvlt.py/0 | {
"file_path": "transformers/src/transformers/models/tvlt/processing_tvlt.py",
"repo_id": "transformers",
"token_count": 1327
} | 342 |
# 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/unispeech_sat/convert_unispeech_original_s3prl_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/unispeech_sat/convert_unispeech_original_s3prl_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 1692
} | 343 |
# 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/vision_encoder_decoder/modeling_flax_vision_encoder_decoder.py/0 | {
"file_path": "transformers/src/transformers/models/vision_encoder_decoder/modeling_flax_vision_encoder_decoder.py",
"repo_id": "transformers",
"token_count": 17497
} | 344 |
# 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/vit/convert_vit_timm_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/vit/convert_vit_timm_to_pytorch.py",
"repo_id": "transformers",
"token_count": 4416
} | 345 |
# coding=utf-8
# Copyright 2023 The Kakao Enterprise Authors, the MMS-TTS 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
#
# h... | transformers/src/transformers/models/vits/tokenization_vits.py/0 | {
"file_path": "transformers/src/transformers/models/vits/tokenization_vits.py",
"repo_id": "transformers",
"token_count": 3981
} | 346 |
# 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/x_clip/convert_x_clip_original_pytorch_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/x_clip/convert_x_clip_original_pytorch_to_hf.py",
"repo_id": "transformers",
"token_count": 8829
} | 347 |
# coding=utf-8
# Copyright 2019 The Open AI 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/xlm/tokenization_xlm.py/0 | {
"file_path": "transformers/src/transformers/models/xlm/tokenization_xlm.py",
"repo_id": "transformers",
"token_count": 18360
} | 348 |
# 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/models/xlnet/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/xlnet/__init__.py",
"repo_id": "transformers",
"token_count": 1788
} | 349 |
# coding=utf-8
# Copyright 2022 School of EIC, Huazhong University of Science & Technology 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/yolos/modeling_yolos.py/0 | {
"file_path": "transformers/src/transformers/models/yolos/modeling_yolos.py",
"repo_id": "transformers",
"token_count": 24118
} | 350 |
# 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/src/transformers/pipelines/automatic_speech_recognition.py/0 | {
"file_path": "transformers/src/transformers/pipelines/automatic_speech_recognition.py",
"repo_id": "transformers",
"token_count": 17151
} | 351 |
import enum
import warnings
from ..tokenization_utils import TruncationStrategy
from ..utils import add_end_docstrings, is_tf_available, is_torch_available, logging
from .base import Pipeline, build_pipeline_init_args
if is_tf_available():
import tensorflow as tf
from ..models.auto.modeling_tf_auto import T... | transformers/src/transformers/pipelines/text2text_generation.py/0 | {
"file_path": "transformers/src/transformers/pipelines/text2text_generation.py",
"repo_id": "transformers",
"token_count": 6917
} | 352 |
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | transformers/src/transformers/quantizers/quantizer_awq.py/0 | {
"file_path": "transformers/src/transformers/quantizers/quantizer_awq.py",
"repo_id": "transformers",
"token_count": 1709
} | 353 |
# 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/src/transformers/tools/agent_types.py/0 | {
"file_path": "transformers/src/transformers/tools/agent_types.py",
"repo_id": "transformers",
"token_count": 3899
} | 354 |
# coding=utf-8
# Copyright 2020-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ap... | transformers/src/transformers/trainer.py/0 | {
"file_path": "transformers/src/transformers/trainer.py",
"repo_id": "transformers",
"token_count": 89746
} | 355 |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class TFGPT2Tokenizer(metaclass=DummyObject):
_backends = ["keras_nlp"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["keras_nlp"])
| transformers/src/transformers/utils/dummy_keras_nlp_objects.py/0 | {
"file_path": "transformers/src/transformers/utils/dummy_keras_nlp_objects.py",
"repo_id": "transformers",
"token_count": 110
} | 356 |
# 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/src/transformers/utils/model_parallel_utils.py/0 | {
"file_path": "transformers/src/transformers/utils/model_parallel_utils.py",
"repo_id": "transformers",
"token_count": 778
} | 357 |
{
"modelname": "{{cookiecutter.modelname}}",
"uppercase_modelname": "{{cookiecutter.uppercase_modelname}}",
"lowercase_modelname": "{{cookiecutter.lowercase_modelname}}",
"camelcase_modelname": "{{cookiecutter.camelcase_modelname}}",
"authors": "{{cookiecutter.authors}}",
"checkpoint_identifier": "{{cookiec... | transformers/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/configuration.json/0 | {
"file_path": "transformers/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/configuration.json",
"repo_id": "transformers",
"token_count": 218
} | 358 |
{
"modelname": "TemplateFLAX",
"uppercase_modelname": "TEMPLATE_FLAX",
"lowercase_modelname": "template_flax",
"camelcase_modelname": "TemplateFlax",
"authors": "The HuggingFace Team",
"checkpoint_identifier": "brand-new-bert-base-cased",
"tokenizer_type": "Based on BERT",
"generate_tensorflow_pytorch_a... | transformers/templates/adding_a_new_model/tests/flax-encoder-bert-tokenizer.json/0 | {
"file_path": "transformers/templates/adding_a_new_model/tests/flax-encoder-bert-tokenizer.json",
"repo_id": "transformers",
"token_count": 150
} | 359 |
# 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/deepspeed/test_model_zoo.py/0 | {
"file_path": "transformers/tests/deepspeed/test_model_zoo.py",
"repo_id": "transformers",
"token_count": 5672
} | 360 |
# coding=utf-8
# Copyright 2022 The HuggingFace Team 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 clone of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/tests/generation/test_configuration_utils.py/0 | {
"file_path": "transformers/tests/generation/test_configuration_utils.py",
"repo_id": "transformers",
"token_count": 4312
} | 361 |
# 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/tests/models/auto/test_processor_auto.py/0 | {
"file_path": "transformers/tests/models/auto/test_processor_auto.py",
"repo_id": "transformers",
"token_count": 9296
} | 362 |
# coding=utf-8
# Copyright 2018 Salesforce 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 required by a... | transformers/tests/models/bertweet/test_tokenization_bertweet.py/0 | {
"file_path": "transformers/tests/models/bertweet/test_tokenization_bertweet.py",
"repo_id": "transformers",
"token_count": 1124
} | 363 |
#!/usr/bin/env python3
# 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/LICENS... | transformers/tests/models/blenderbot/test_tokenization_blenderbot.py/0 | {
"file_path": "transformers/tests/models/blenderbot/test_tokenization_blenderbot.py",
"repo_id": "transformers",
"token_count": 1382
} | 364 |
# 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/clip/test_tokenization_clip.py/0 | {
"file_path": "transformers/tests/models/clip/test_tokenization_clip.py",
"repo_id": "transformers",
"token_count": 4004
} | 365 |
# 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/conditional_detr/test_modeling_conditional_detr.py/0 | {
"file_path": "transformers/tests/models/conditional_detr/test_modeling_conditional_detr.py",
"repo_id": "transformers",
"token_count": 10915
} | 366 |
# 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/efficientformer/test_modeling_tf_efficientformer.py/0 | {
"file_path": "transformers/tests/models/efficientformer/test_modeling_tf_efficientformer.py",
"repo_id": "transformers",
"token_count": 7249
} | 367 |
# 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/flaubert/test_modeling_flaubert.py/0 | {
"file_path": "transformers/tests/models/flaubert/test_modeling_flaubert.py",
"repo_id": "transformers",
"token_count": 8596
} | 368 |
# coding=utf-8
# Copyright 2020 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/tests/models/funnel/test_modeling_tf_funnel.py/0 | {
"file_path": "transformers/tests/models/funnel/test_modeling_tf_funnel.py",
"repo_id": "transformers",
"token_count": 6844
} | 369 |
# 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/gpt2/test_tokenization_gpt2.py/0 | {
"file_path": "transformers/tests/models/gpt2/test_tokenization_gpt2.py",
"repo_id": "transformers",
"token_count": 6958
} | 370 |
# 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/gptj/test_modeling_gptj.py/0 | {
"file_path": "transformers/tests/models/gptj/test_modeling_gptj.py",
"repo_id": "transformers",
"token_count": 12590
} | 371 |
# 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/ibert/test_modeling_ibert.py/0 | {
"file_path": "transformers/tests/models/ibert/test_modeling_ibert.py",
"repo_id": "transformers",
"token_count": 14932
} | 372 |
# 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/llama/test_modeling_llama.py/0 | {
"file_path": "transformers/tests/models/llama/test_modeling_llama.py",
"repo_id": "transformers",
"token_count": 14054
} | 373 |
# 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/lxmert/test_modeling_tf_lxmert.py/0 | {
"file_path": "transformers/tests/models/lxmert/test_modeling_tf_lxmert.py",
"repo_id": "transformers",
"token_count": 10963
} | 374 |
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
# 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.a... | transformers/tests/models/megatron_bert/test_modeling_megatron_bert.py/0 | {
"file_path": "transformers/tests/models/megatron_bert/test_modeling_megatron_bert.py",
"repo_id": "transformers",
"token_count": 7272
} | 375 |
# 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/mobilebert/test_modeling_tf_mobilebert.py/0 | {
"file_path": "transformers/tests/models/mobilebert/test_modeling_tf_mobilebert.py",
"repo_id": "transformers",
"token_count": 7017
} | 376 |
# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team, Microsoft Corporation.
#
# 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/mpnet/test_modeling_tf_mpnet.py/0 | {
"file_path": "transformers/tests/models/mpnet/test_modeling_tf_mpnet.py",
"repo_id": "transformers",
"token_count": 4844
} | 377 |
# coding=utf-8
# Copyright 2022 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/models/oneformer/test_processor_oneformer.py/0 | {
"file_path": "transformers/tests/models/oneformer/test_processor_oneformer.py",
"repo_id": "transformers",
"token_count": 15394
} | 378 |
# 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/pop2piano/test_modeling_pop2piano.py/0 | {
"file_path": "transformers/tests/models/pop2piano/test_modeling_pop2piano.py",
"repo_id": "transformers",
"token_count": 15077
} | 379 |
from __future__ import annotations
import json
import os
import shutil
import tempfile
import unittest
from unittest.mock import patch
import numpy as np
from transformers import BartTokenizer
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES as DPR_VOCAB_FILES_NAMES
from transformers.models.d... | transformers/tests/models/rag/test_modeling_tf_rag.py/0 | {
"file_path": "transformers/tests/models/rag/test_modeling_tf_rag.py",
"repo_id": "transformers",
"token_count": 19640
} | 380 |
# 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/rembert/test_modeling_tf_rembert.py/0 | {
"file_path": "transformers/tests/models/rembert/test_modeling_tf_rembert.py",
"repo_id": "transformers",
"token_count": 12938
} | 381 |
# 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/roc_bert/test_modeling_roc_bert.py/0 | {
"file_path": "transformers/tests/models/roc_bert/test_modeling_roc_bert.py",
"repo_id": "transformers",
"token_count": 13598
} | 382 |
# 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... | transformers/tests/models/seamless_m4t/test_processor_seamless_m4t.py/0 | {
"file_path": "transformers/tests/models/seamless_m4t/test_processor_seamless_m4t.py",
"repo_id": "transformers",
"token_count": 2078
} | 383 |
# 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/timesformer/test_modeling_timesformer.py/0 | {
"file_path": "transformers/tests/models/timesformer/test_modeling_timesformer.py",
"repo_id": "transformers",
"token_count": 5998
} | 384 |
# 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/unispeech/test_modeling_unispeech.py/0 | {
"file_path": "transformers/tests/models/unispeech/test_modeling_unispeech.py",
"repo_id": "transformers",
"token_count": 10418
} | 385 |
# 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/xglm/test_modeling_xglm.py/0 | {
"file_path": "transformers/tests/models/xglm/test_modeling_xglm.py",
"repo_id": "transformers",
"token_count": 9446
} | 386 |
# 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_audio_classification.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_audio_classification.py",
"repo_id": "transformers",
"token_count": 2077
} | 387 |
# 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/pipelines/test_pipelines_table_question_answering.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_table_question_answering.py",
"repo_id": "transformers",
"token_count": 14810
} | 388 |
# 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/test_modeling_flax_common.py/0 | {
"file_path": "transformers/tests/test_modeling_flax_common.py",
"repo_id": "transformers",
"token_count": 25154
} | 389 |
# 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/tools/test_image_captioning.py/0 | {
"file_path": "transformers/tests/tools/test_image_captioning.py",
"repo_id": "transformers",
"token_count": 737
} | 390 |
# 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/tests/trainer/test_trainer_seq2seq.py/0 | {
"file_path": "transformers/tests/trainer/test_trainer_seq2seq.py",
"repo_id": "transformers",
"token_count": 3232
} | 391 |
# 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_hub_utils.py/0 | {
"file_path": "transformers/tests/utils/test_hub_utils.py",
"repo_id": "transformers",
"token_count": 2572
} | 392 |
# 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/utils/check_doc_toc.py/0 | {
"file_path": "transformers/utils/check_doc_toc.py",
"repo_id": "transformers",
"token_count": 1732
} | 393 |
import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter
import requests
def get_jobs(workflow_run_id, token=None):
"""Extract jobs in a GitHub Actions workflow run"""
headers = None
if token is not None:
headers = {"Accept": "... | transformers/utils/get_ci_error_statistics.py/0 | {
"file_path": "transformers/utils/get_ci_error_statistics.py",
"repo_id": "transformers",
"token_count": 4815
} | 394 |
from transformers import Wav2Vec2FeatureExtractor
class CustomFeatureExtractor(Wav2Vec2FeatureExtractor):
pass
| transformers/utils/test_module/custom_feature_extraction.py/0 | {
"file_path": "transformers/utils/test_module/custom_feature_extraction.py",
"repo_id": "transformers",
"token_count": 37
} | 395 |
# How to contribute
## How to get started
Before you start contributing make sure you installed all the dev tools:
```bash
pip install -e ".[dev]"
```
## Did you find a bug?
* Ensure the bug was not already reported by searching on GitHub under Issues.
* If you're unable to find an open issue addressing the proble... | trl/CONTRIBUTING.md/0 | {
"file_path": "trl/CONTRIBUTING.md",
"repo_id": "trl",
"token_count": 586
} | 396 |
#!/bin/bash
#SBATCH --job-name=trl
#SBATCH --partition=hopper-prod
#SBATCH --gpus-per-task={{gpus_per_task}}
#SBATCH --cpus-per-gpu={{cpus_per_gpu}}
#SBATCH --ntasks={{ntasks}}
#SBATCH --output=slurm/logs/%x_%j.out
#SBATCH --array={{array}}
##SBATCH --exclude=ip-26-0-149-199
module load cuda/12.1
{{nodes}}
seeds={{s... | trl/benchmark/trl.slurm_template/0 | {
"file_path": "trl/benchmark/trl.slurm_template",
"repo_id": "trl",
"token_count": 217
} | 397 |
# Iterative Trainer
Iterative fine-tuning is a training method that enables to perform custom actions (generation and filtering for example) between optimization steps. In TRL we provide an easy-to-use API to fine-tune your models in an iterative way in just a few lines of code.
## Usage
To get started quickly, inst... | trl/docs/source/iterative_sft_trainer.mdx/0 | {
"file_path": "trl/docs/source/iterative_sft_trainer.mdx",
"repo_id": "trl",
"token_count": 389
} | 398 |
compute_environment: LOCAL_MACHINE
debug: false
deepspeed_config:
deepspeed_multinode_launcher: standard
gradient_accumulation_steps: 1
zero3_init_flag: false
zero_stage: 1
distributed_type: DEEPSPEED
downcast_bf16: 'no'
machine_rank: 0
main_training_function: main
mixed_precision: 'bf16'
num_machines: 1
num_pr... | trl/examples/accelerate_configs/deepspeed_zero1.yaml/0 | {
"file_path": "trl/examples/accelerate_configs/deepspeed_zero1.yaml",
"repo_id": "trl",
"token_count": 171
} | 399 |
# DPO pipeline for the creation of StackLlaMa 2: a Stack exchange llama-v2-7b model
## Prerequisites
Install all the dependencies in the `requirements.txt`:
```
$ pip install -U -r requirements.txt
```
Since we will use `accelerate` for training, make sure to run:
```
$ accelerate config
```
## Training
There wer... | trl/examples/research_projects/stack_llama_2/scripts/README.md/0 | {
"file_path": "trl/examples/research_projects/stack_llama_2/scripts/README.md",
"repo_id": "trl",
"token_count": 896
} | 400 |
[tool.black]
line-length = 119
target-version = ['py38']
[tool.ruff]
ignore = ["E501", "E741", "W605"]
select = ["E", "F", "I", "W"]
line-length = 119
# Ignore import violations in all `__init__.py` files.
[tool.ruff.per-file-ignores]
"__init__.py" = ["E402", "F401", "F403", "F811"]
[tool.ruff.isort]
lines-after-imp... | trl/pyproject.toml/0 | {
"file_path": "trl/pyproject.toml",
"repo_id": "trl",
"token_count": 150
} | 401 |
# Copyright 2023 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/licenses/LICENSE-2.0
#
# Unless require... | trl/tests/test_ddpo_trainer.py/0 | {
"file_path": "trl/tests/test_ddpo_trainer.py",
"repo_id": "trl",
"token_count": 1784
} | 402 |
# 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/trl/environment/base_environment.py/0 | {
"file_path": "trl/trl/environment/base_environment.py",
"repo_id": "trl",
"token_count": 7664
} | 403 |
from dataclasses import dataclass, field
from typing import List, Optional
from ..core import flatten_dict
@dataclass
class ModelConfig:
"""
Arguments which define the model and tokenizer to load.
"""
model_name_or_path: Optional[str] = field(
default=None,
metadata={"help": ("The mo... | trl/trl/trainer/model_config.py/0 | {
"file_path": "trl/trl/trainer/model_config.py",
"repo_id": "trl",
"token_count": 1246
} | 404 |
.PHONY: quality style test docs utils
check_dirs := tests src examples benchmarks utils
# Check that source code meets quality standards
extra_quality_checks:
python utils/check_copies.py
python utils/check_dummies.py
python utils/check_repo.py
doc-builder style src/accelerate docs/source --max_len 119
# this t... | accelerate/Makefile/0 | {
"file_path": "accelerate/Makefile",
"repo_id": "accelerate",
"token_count": 1122
} | 0 |
<!--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/concept_guides/big_model_inference.md/0 | {
"file_path": "accelerate/docs/source/concept_guides/big_model_inference.md",
"repo_id": "accelerate",
"token_count": 4832
} | 1 |
<!--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/local_sgd.md/0 | {
"file_path": "accelerate/docs/source/usage_guides/local_sgd.md",
"repo_id": "accelerate",
"token_count": 1494
} | 2 |
# 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... | accelerate/examples/by_feature/fsdp_with_peak_mem_tracking.py/0 | {
"file_path": "accelerate/examples/by_feature/fsdp_with_peak_mem_tracking.py",
"repo_id": "accelerate",
"token_count": 7888
} | 3 |
# Copyright 2022 The HuggingFace Team and Brian Chao. 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... | accelerate/src/accelerate/commands/menu/input.py/0 | {
"file_path": "accelerate/src/accelerate/commands/menu/input.py",
"repo_id": "accelerate",
"token_count": 967
} | 4 |
# 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... | accelerate/src/accelerate/utils/bnb.py/0 | {
"file_path": "accelerate/src/accelerate/utils/bnb.py",
"repo_id": "accelerate",
"token_count": 8764
} | 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/utils/torch_xla.py/0 | {
"file_path": "accelerate/src/accelerate/utils/torch_xla.py",
"repo_id": "accelerate",
"token_count": 691
} | 6 |
echo "hello world"
echo "this is a second command" | accelerate/tests/test_samples/test_command_file.sh/0 | {
"file_path": "accelerate/tests/test_samples/test_command_file.sh",
"repo_id": "accelerate",
"token_count": 14
} | 7 |
# Constitutional AI
This repo includes the recipe for training the following models:
* https://huggingface.co/HuggingFaceH4/mistral-7b-anthropic
* https://huggingface.co/HuggingFaceH4/mistral-7b-grok
## Full training examples
You will require 8 GPUs (80GB of VRAM) to train the full model.
```shell
# Step 1 - SFT
... | alignment-handbook/recipes/constitutional-ai/README.md/0 | {
"file_path": "alignment-handbook/recipes/constitutional-ai/README.md",
"repo_id": "alignment-handbook",
"token_count": 326
} | 8 |
#!/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... | alignment-handbook/scripts/run_sft.py/0 | {
"file_path": "alignment-handbook/scripts/run_sft.py",
"repo_id": "alignment-handbook",
"token_count": 2671
} | 9 |
# Creating a desktop Tauri app
| candle/candle-book/src/apps/desktop.md/0 | {
"file_path": "candle/candle-book/src/apps/desktop.md",
"repo_id": "candle",
"token_count": 8
} | 10 |
#[cfg(test)]
pub mod simplified;
#[cfg(test)]
mod tests {
use anyhow::Result;
use candle::{DType, Device, Tensor};
use parquet::file::reader::SerializedFileReader;
// NOTE: Waiting on https://github.com/rust-lang/mdBook/pull/1856
#[rustfmt::skip]
#[tokio::test]
async fn book_hub_1() {
// A... | candle/candle-book/src/lib.rs/0 | {
"file_path": "candle/candle-book/src/lib.rs",
"repo_id": "candle",
"token_count": 2806
} | 11 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use anyhow::Result;
use candle_core::{Device, Tensor};
fn main() -> Result<()> {
let a = Tensor::new(&[[0.0f32, 1.0, 2.0], [3.0, 4.0, 5.0]], &Device::Cpu)?;
let b = Tensor::new(&[[88.0f32, 99.0]], ... | candle/candle-core/examples/basics.rs/0 | {
"file_path": "candle/candle-core/examples/basics.rs",
"repo_id": "candle",
"token_count": 287
} | 12 |
use crate::backend::{BackendDevice, BackendStorage};
use crate::op::{BinaryOpT, CmpOp, ReduceOp, UnaryOpT};
use crate::{CpuStorage, DType, Layout, Result, Shape, WithDType};
pub use candle_kernels as kernels;
pub use cudarc;
use cudarc::cublas::{Gemm, GemmConfig, StridedBatchedConfig};
use cudarc::driver::{
CudaFun... | candle/candle-core/src/cuda_backend.rs/0 | {
"file_path": "candle/candle-core/src/cuda_backend.rs",
"repo_id": "candle",
"token_count": 44652
} | 13 |
use super::k_quants::{
BlockQ2K, BlockQ3K, BlockQ4K, BlockQ4_0, BlockQ5K, BlockQ6K, BlockQ8K, BlockQ8_0, QK8_0, QK_K,
};
use crate::Result;
use byteorder::{ByteOrder, LittleEndian};
use half::f16;
#[cfg(target_arch = "x86")]
use core::arch::x86::*;
#[cfg(target_arch = "x86_64")]
use core::arch::x86_64::*;
#[inlin... | candle/candle-core/src/quantized/avx.rs/0 | {
"file_path": "candle/candle-core/src/quantized/avx.rs",
"repo_id": "candle",
"token_count": 17495
} | 14 |
use std::str::FromStr;
pub fn get_num_threads() -> usize {
// Respond to the same environment variable as rayon.
match std::env::var("RAYON_NUM_THREADS")
.ok()
.and_then(|s| usize::from_str(&s).ok())
{
Some(x) if x > 0 => x,
Some(_) | None => num_cpus::get(),
}
}
pub fn... | candle/candle-core/src/utils.rs/0 | {
"file_path": "candle/candle-core/src/utils.rs",
"repo_id": "candle",
"token_count": 389
} | 15 |
# candle-datasets
| candle/candle-datasets/README.md/0 | {
"file_path": "candle/candle-datasets/README.md",
"repo_id": "candle",
"token_count": 7
} | 16 |
# candle-blip
The
[blip-image-captioning](https://huggingface.co/Salesforce/blip-image-captioning-base)
model can generate captions for an input image.
## Running on an example
```bash
cargo run --example blip --release -- --image candle-examples/examples/yolo-v8/assets/bike.jpg
```
```
Running on CPU, to run on GP... | candle/candle-examples/examples/blip/README.md/0 | {
"file_path": "candle/candle-examples/examples/blip/README.md",
"repo_id": "candle",
"token_count": 190
} | 17 |
// An implementation of LLaMA https://github.com/facebookresearch/llama
//
// This is based on nanoGPT in a similar way to:
// https://github.com/Lightning-AI/lit-llama/blob/main/lit_llama/model.py
//
// The tokenizer config can be retrieved from:
// https://huggingface.co/hf-internal-testing/llama-tokenizer/raw/main/t... | candle/candle-examples/examples/llama/main.rs/0 | {
"file_path": "candle/candle-examples/examples/llama/main.rs",
"repo_id": "candle",
"token_count": 3136
} | 18 |
# candle-mobileone
[MobileOne: An Improved One millisecond Mobile Backbone](https://arxiv.org/abs/2206.04040).
This candle implementation uses a pre-trained MobileOne network for inference. The
classification head has been trained on the ImageNet dataset and returns the
probabilities for the top-5 classes.
## Runnin... | candle/candle-examples/examples/mobileone/README.md/0 | {
"file_path": "candle/candle-examples/examples/mobileone/README.md",
"repo_id": "candle",
"token_count": 254
} | 19 |
# candle-reinforcement-learning
Reinforcement Learning examples for candle.
This has been tested with `gymnasium` version `0.29.1`. You can install the
Python package with:
```bash
pip install "gymnasium[accept-rom-license]"
```
In order to run the examples, use the following commands. Note the additional
`--package... | candle/candle-examples/examples/reinforcement-learning/README.md/0 | {
"file_path": "candle/candle-examples/examples/reinforcement-learning/README.md",
"repo_id": "candle",
"token_count": 198
} | 20 |
# candle-vit
Vision Transformer (ViT) model implementation following the lines of
[vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224)
This uses a classification head trained on the ImageNet dataset and returns the
probabilities for the top-5 classes.
## Running an example
```
$ cargo run --exa... | candle/candle-examples/examples/vit/README.md/0 | {
"file_path": "candle/candle-examples/examples/vit/README.md",
"repo_id": "candle",
"token_count": 219
} | 21 |
# candle-yolo-v8: Object Detection and Pose Estimation
This is a port of [Ultralytics
YOLOv8](https://github.com/ultralytics/ultralytics). The implementation is based
on the [tinygrad
version](https://github.com/tinygrad/tinygrad/blob/master/examples/yolov8.py)
and on the model architecture described in this
[issue](h... | candle/candle-examples/examples/yolo-v8/README.md/0 | {
"file_path": "candle/candle-examples/examples/yolo-v8/README.md",
"repo_id": "candle",
"token_count": 562
} | 22 |
/******************************************************************************
* Copyright (c) 2023, Tri Dao.
******************************************************************************/
#pragma once
#include <cuda.h>
#include <vector>
constexpr int TOTAL_DIM = 0;
constexpr int H_DIM = 1;
constexpr int D_DIM =... | candle/candle-flash-attn/kernels/flash.h/0 | {
"file_path": "candle/candle-flash-attn/kernels/flash.h",
"repo_id": "candle",
"token_count": 2033
} | 23 |
#include "cuda_utils.cuh"
#include<stdint.h>
#define AFFINE_OP(TYPENAME, FN_NAME) \
extern "C" __global__ void FN_NAME( \
const size_t numel, \
const size_t num_dims, \
const size_t *info, \
const TYPENAME *inp, \
TYPENAME *out, \
const TYPENAME mul, \
const TYPENAME add \
) { \
cons... | candle/candle-kernels/src/affine.cu/0 | {
"file_path": "candle/candle-kernels/src/affine.cu",
"repo_id": "candle",
"token_count": 654
} | 24 |
#include <metal_stdlib>
#define MAX(x, y) ((x) > (y) ? (x) : (y))
#define MIN(x, y) ((x) < (y) ? (x) : (y))
METAL_FUNC uint get_strided_index(
uint idx,
constant size_t &num_dims,
constant size_t *dims,
constant size_t *strides
) {
uint strided_i = 0;
for (uint d = 0; d < num_dims; d++) {
... | candle/candle-metal-kernels/src/binary.metal/0 | {
"file_path": "candle/candle-metal-kernels/src/binary.metal",
"repo_id": "candle",
"token_count": 1688
} | 25 |
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