text stringlengths 7 1.24M | id stringlengths 14 166 | metadata dict | __index_level_0__ int64 0 519 |
|---|---|---|---|
# coding=utf-8
# Copyright 2023 The Intel AIA Team Authors, and HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License=, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/lice... | transformers/src/transformers/models/tvp/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/tvp/__init__.py",
"repo_id": "transformers",
"token_count": 798
} | 400 |
# 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/upernet/convert_convnext_upernet_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/upernet/convert_convnext_upernet_to_pytorch.py",
"repo_id": "transformers",
"token_count": 4521
} | 401 |
# 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/vilt/configuration_vilt.py/0 | {
"file_path": "transformers/src/transformers/models/vilt/configuration_vilt.py",
"repo_id": "transformers",
"token_count": 2568
} | 402 |
# coding=utf-8
# Copyright 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 requir... | transformers/src/transformers/models/vision_text_dual_encoder/configuration_vision_text_dual_encoder.py/0 | {
"file_path": "transformers/src/transformers/models/vision_text_dual_encoder/configuration_vision_text_dual_encoder.py",
"repo_id": "transformers",
"token_count": 1659
} | 403 |
# coding=utf-8
# Copyright 2021 The Google Flax Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
... | transformers/src/transformers/models/vit/modeling_flax_vit.py/0 | {
"file_path": "transformers/src/transformers/models/vit/modeling_flax_vit.py",
"repo_id": "transformers",
"token_count": 10847
} | 404 |
# 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/vitmatte/configuration_vitmatte.py/0 | {
"file_path": "transformers/src/transformers/models/vitmatte/configuration_vitmatte.py",
"repo_id": "transformers",
"token_count": 2279
} | 405 |
# 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/wav2vec2/convert_wav2vec2_original_pytorch_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/wav2vec2/convert_wav2vec2_original_pytorch_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 6994
} | 406 |
# coding=utf-8
# Copyright 2022 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_conformer/modeling_wav2vec2_conformer.py/0 | {
"file_path": "transformers/src/transformers/models/wav2vec2_conformer/modeling_wav2vec2_conformer.py",
"repo_id": "transformers",
"token_count": 40757
} | 407 |
# coding=utf-8
# Copyright 2022 The OpenAI 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/L... | transformers/src/transformers/models/whisper/modeling_flax_whisper.py/0 | {
"file_path": "transformers/src/transformers/models/whisper/modeling_flax_whisper.py",
"repo_id": "transformers",
"token_count": 32255
} | 408 |
# coding=utf-8
# Copyright 2021 The Fairseq Authors 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/LICE... | transformers/src/transformers/models/xglm/modeling_xglm.py/0 | {
"file_path": "transformers/src/transformers/models/xglm/modeling_xglm.py",
"repo_id": "transformers",
"token_count": 17222
} | 409 |
# 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/yolos/configuration_yolos.py/0 | {
"file_path": "transformers/src/transformers/models/yolos/configuration_yolos.py",
"repo_id": "transformers",
"token_count": 2919
} | 410 |
# 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/onnx/config.py/0 | {
"file_path": "transformers/src/transformers/onnx/config.py",
"repo_id": "transformers",
"token_count": 13946
} | 411 |
from typing import Dict
from ..utils import add_end_docstrings, is_vision_available
from .base import GenericTensor, Pipeline, build_pipeline_init_args
if is_vision_available():
from ..image_utils import load_image
@add_end_docstrings(
build_pipeline_init_args(has_image_processor=True),
"""
ima... | transformers/src/transformers/pipelines/image_feature_extraction.py/0 | {
"file_path": "transformers/src/transformers/pipelines/image_feature_extraction.py",
"repo_id": "transformers",
"token_count": 1828
} | 412 |
# 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/pipelines/zero_shot_audio_classification.py/0 | {
"file_path": "transformers/src/transformers/pipelines/zero_shot_audio_classification.py",
"repo_id": "transformers",
"token_count": 2703
} | 413 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/quantizers/quantizer_hqq.py/0 | {
"file_path": "transformers/src/transformers/quantizers/quantizer_hqq.py",
"repo_id": "transformers",
"token_count": 3091
} | 414 |
# 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_pt_utils.py/0 | {
"file_path": "transformers/src/transformers/trainer_pt_utils.py",
"repo_id": "transformers",
"token_count": 24131
} | 415 |
# 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
} | 416 |
# 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/import_utils.py/0 | {
"file_path": "transformers/src/transformers/utils/import_utils.py",
"repo_id": "transformers",
"token_count": 21344
} | 417 |
<!---
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/templates/adding_a_new_model/README.md/0 | {
"file_path": "transformers/templates/adding_a_new_model/README.md",
"repo_id": "transformers",
"token_count": 258
} | 418 |
# 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/benchmark/test_benchmark.py/0 | {
"file_path": "transformers/tests/benchmark/test_benchmark.py",
"repo_id": "transformers",
"token_count": 4937
} | 419 |
# 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_tf_utils.py/0 | {
"file_path": "transformers/tests/generation/test_tf_utils.py",
"repo_id": "transformers",
"token_count": 5122
} | 420 |
# 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/bart/test_modeling_bart.py/0 | {
"file_path": "transformers/tests/models/bart/test_modeling_bart.py",
"repo_id": "transformers",
"token_count": 36043
} | 421 |
# 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/biogpt/test_modeling_biogpt.py/0 | {
"file_path": "transformers/tests/models/biogpt/test_modeling_biogpt.py",
"repo_id": "transformers",
"token_count": 8688
} | 422 |
# 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/blip/test_modeling_blip.py/0 | {
"file_path": "transformers/tests/models/blip/test_modeling_blip.py",
"repo_id": "transformers",
"token_count": 25464
} | 423 |
# 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/bros/test_modeling_bros.py/0 | {
"file_path": "transformers/tests/models/bros/test_modeling_bros.py",
"repo_id": "transformers",
"token_count": 8341
} | 424 |
# 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/models/clvp/test_feature_extraction_clvp.py/0 | {
"file_path": "transformers/tests/models/clvp/test_feature_extraction_clvp.py",
"repo_id": "transformers",
"token_count": 4543
} | 425 |
# 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/convbert/test_modeling_convbert.py/0 | {
"file_path": "transformers/tests/models/convbert/test_modeling_convbert.py",
"repo_id": "transformers",
"token_count": 9496
} | 426 |
# 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/ctrl/test_modeling_tf_ctrl.py/0 | {
"file_path": "transformers/tests/models/ctrl/test_modeling_tf_ctrl.py",
"repo_id": "transformers",
"token_count": 4872
} | 427 |
# 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 | {
"file_path": "transformers/tests/models/deberta/test_modeling_deberta.py",
"repo_id": "transformers",
"token_count": 5253
} | 428 |
# 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/dit/test_modeling_dit.py/0 | {
"file_path": "transformers/tests/models/dit/test_modeling_dit.py",
"repo_id": "transformers",
"token_count": 744
} | 429 |
# 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/efficientnet/test_modeling_efficientnet.py/0 | {
"file_path": "transformers/tests/models/efficientnet/test_modeling_efficientnet.py",
"repo_id": "transformers",
"token_count": 3889
} | 430 |
# 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/esm/test_modeling_esm.py/0 | {
"file_path": "transformers/tests/models/esm/test_modeling_esm.py",
"repo_id": "transformers",
"token_count": 6169
} | 431 |
# coding=utf-8
# Copyright 2022 Meta Platforms authors and 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 requi... | transformers/tests/models/flava/test_image_processing_flava.py/0 | {
"file_path": "transformers/tests/models/flava/test_image_processing_flava.py",
"repo_id": "transformers",
"token_count": 7115
} | 432 |
import unittest
import numpy as np
from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import (
require_torch,
require_torchvision,
require_vision,
)
if is_torch_available() and is_vision_available():
import torch
from transformers import FuyuImagePr... | transformers/tests/models/fuyu/test_image_processing_fuyu.py/0 | {
"file_path": "transformers/tests/models/fuyu/test_image_processing_fuyu.py",
"repo_id": "transformers",
"token_count": 906
} | 433 |
# coding=utf-8
# Copyright 2023 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.apache.org/licenses/L... | transformers/tests/models/kosmos2/test_modeling_kosmos2.py/0 | {
"file_path": "transformers/tests/models/kosmos2/test_modeling_kosmos2.py",
"repo_id": "transformers",
"token_count": 15859
} | 434 |
# coding=utf-8
# Copyright 2022 Google LongT5 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 ... | transformers/tests/models/longt5/test_modeling_flax_longt5.py/0 | {
"file_path": "transformers/tests/models/longt5/test_modeling_flax_longt5.py",
"repo_id": "transformers",
"token_count": 17644
} | 435 |
# 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/maskformer/test_modeling_maskformer_swin.py/0 | {
"file_path": "transformers/tests/models/maskformer/test_modeling_maskformer_swin.py",
"repo_id": "transformers",
"token_count": 7955
} | 436 |
# coding=utf-8 # Copyright 2020 Huggingface
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | transformers/tests/models/reformer/test_modeling_reformer.py/0 | {
"file_path": "transformers/tests/models/reformer/test_modeling_reformer.py",
"repo_id": "transformers",
"token_count": 27239
} | 437 |
# 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/roberta/test_modeling_roberta.py/0 | {
"file_path": "transformers/tests/models/roberta/test_modeling_roberta.py",
"repo_id": "transformers",
"token_count": 10437
} | 438 |
# 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/tests/models/rt_detr/test_image_processing_rt_detr.py/0 | {
"file_path": "transformers/tests/models/rt_detr/test_image_processing_rt_detr.py",
"repo_id": "transformers",
"token_count": 7383
} | 439 |
# coding=utf-8
# Copyright 2022 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/speech_encoder_decoder/test_modeling_flax_speech_encoder_decoder.py/0 | {
"file_path": "transformers/tests/models/speech_encoder_decoder/test_modeling_flax_speech_encoder_decoder.py",
"repo_id": "transformers",
"token_count": 17896
} | 440 |
# coding=utf-8
# Copyright 2020 The SqueezeBert 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
#
# U... | transformers/tests/models/squeezebert/test_modeling_squeezebert.py/0 | {
"file_path": "transformers/tests/models/squeezebert/test_modeling_squeezebert.py",
"repo_id": "transformers",
"token_count": 5266
} | 441 |
# 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/swin2sr/test_image_processing_swin2sr.py/0 | {
"file_path": "transformers/tests/models/swin2sr/test_image_processing_swin2sr.py",
"repo_id": "transformers",
"token_count": 2979
} | 442 |
# 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/videomae/test_modeling_videomae.py/0 | {
"file_path": "transformers/tests/models/videomae/test_modeling_videomae.py",
"repo_id": "transformers",
"token_count": 7496
} | 443 |
# 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/vitmatte/test_modeling_vitmatte.py/0 | {
"file_path": "transformers/tests/models/vitmatte/test_modeling_vitmatte.py",
"repo_id": "transformers",
"token_count": 4462
} | 444 |
# 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/tests/pipelines/test_pipelines_image_to_text.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_image_to_text.py",
"repo_id": "transformers",
"token_count": 5203
} | 445 |
# 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_zero_shot_image_classification.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_zero_shot_image_classification.py",
"repo_id": "transformers",
"token_count": 6141
} | 446 |
import json
import logging
import os
import subprocess
from argparse import ArgumentParser
logger = logging.getLogger(__name__)
def parse_args():
parser = ArgumentParser()
parsed, unknown = parser.parse_known_args()
for arg in unknown:
if arg.startswith(("-", "--")):
parser.add_argum... | transformers/tests/sagemaker/scripts/pytorch/run_ddp.py/0 | {
"file_path": "transformers/tests/sagemaker/scripts/pytorch/run_ddp.py",
"repo_id": "transformers",
"token_count": 694
} | 447 |
# 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/test_pipeline_mixin.py/0 | {
"file_path": "transformers/tests/test_pipeline_mixin.py",
"repo_id": "transformers",
"token_count": 12257
} | 448 |
# 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_activations.py/0 | {
"file_path": "transformers/tests/utils/test_activations.py",
"repo_id": "transformers",
"token_count": 1061
} | 449 |
# 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_hf_argparser.py/0 | {
"file_path": "transformers/tests/utils/test_hf_argparser.py",
"repo_id": "transformers",
"token_count": 7627
} | 450 |
{
"ASTForAudioClassification": {
"tokenizer_classes": [],
"processor_classes": [
"ASTFeatureExtractor"
],
"model_classes": [
"ASTForAudioClassification"
],
"sha": "83d6e076db7768a3645401bad3204624985e1d08"
},
"ASTModel": {
"toke... | transformers/tests/utils/tiny_model_summary.json/0 | {
"file_path": "transformers/tests/utils/tiny_model_summary.json",
"repo_id": "transformers",
"token_count": 116209
} | 451 |
# 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/utils/check_tf_ops.py/0 | {
"file_path": "transformers/utils/check_tf_ops.py",
"repo_id": "transformers",
"token_count": 1302
} | 452 |
# 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/utils/notification_service_doc_tests.py/0 | {
"file_path": "transformers/utils/notification_service_doc_tests.py",
"repo_id": "transformers",
"token_count": 6488
} | 453 |
import torch
from transformers import PreTrainedModel
from .custom_configuration import CustomConfig, NoSuperInitConfig
class CustomModel(PreTrainedModel):
config_class = CustomConfig
def __init__(self, config):
super().__init__(config)
self.linear = torch.nn.Linear(config.hidden_size, conf... | transformers/utils/test_module/custom_modeling.py/0 | {
"file_path": "transformers/utils/test_module/custom_modeling.py",
"repo_id": "transformers",
"token_count": 289
} | 454 |
## w/ and w/o gradient accumulation
python benchmark/benchmark.py \
--command "python examples/scripts/ppo.py --exp_name ppo_step_grad_accu --mini_batch_size 1 --gradient_accumulation_steps 128 --log_with wandb" \
--num-seeds 3 \
--start-seed 1 \
--workers 10 \
--slurm-nodes 1 \
--slurm-gpus-per... | trl/benchmark/benchmark_level3.sh/0 | {
"file_path": "trl/benchmark/benchmark_level3.sh",
"repo_id": "trl",
"token_count": 689
} | 455 |
# Command Line Interfaces (CLIs)
You can use TRL to fine-tune your Language Model with Supervised Fine-Tuning (SFT) or Direct Policy Optimization (DPO) or even chat with your model using the TRL CLIs.
Currently supported CLIs are:
- `trl sft`: fine-tune a LLM on a text/instruction dataset
- `trl dpo`: fine-tune a LL... | trl/docs/source/clis.mdx/0 | {
"file_path": "trl/docs/source/clis.mdx",
"repo_id": "trl",
"token_count": 1519
} | 456 |
# Models
With the `AutoModelForCausalLMWithValueHead` class TRL supports all decoder model architectures in transformers such as GPT-2, OPT, and GPT-Neo. In addition, with `AutoModelForSeq2SeqLMWithValueHead` you can use encoder-decoder architectures such as T5. TRL also requires reference models which are frozen copi... | trl/docs/source/models.mdx/0 | {
"file_path": "trl/docs/source/models.mdx",
"repo_id": "trl",
"token_count": 283
} | 457 |
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
} | 458 |
# Research projects that use TRL
Welcome to the research projects folder! Here you can find the scripts used for some research projects that used TRL and maintained by the developers and the community (LM de-toxification, Stack-Llama, etc.). Check out the READMEs in the subfolders for more information!
- [De-detoxify... | trl/examples/research_projects/README.md/0 | {
"file_path": "trl/examples/research_projects/README.md",
"repo_id": "trl",
"token_count": 189
} | 459 |
# 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/examples/scripts/alignprop.py/0 | {
"file_path": "trl/examples/scripts/alignprop.py",
"repo_id": "trl",
"token_count": 1556
} | 460 |
# 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 required by appl... | trl/examples/scripts/reward_modeling.py/0 | {
"file_path": "trl/examples/scripts/reward_modeling.py",
"repo_id": "trl",
"token_count": 2016
} | 461 |
# 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... | trl/tests/slow/testing_constants.py/0 | {
"file_path": "trl/tests/slow/testing_constants.py",
"repo_id": "trl",
"token_count": 349
} | 462 |
# 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_modeling_value_head.py/0 | {
"file_path": "trl/tests/test_modeling_value_head.py",
"repo_id": "trl",
"token_count": 9637
} | 463 |
# flake8: noqa
# 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 requi... | trl/trl/commands/__init__.py/0 | {
"file_path": "trl/trl/commands/__init__.py",
"repo_id": "trl",
"token_count": 351
} | 464 |
# 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... | trl/trl/models/sd_utils.py/0 | {
"file_path": "trl/trl/models/sd_utils.py",
"repo_id": "trl",
"token_count": 2507
} | 465 |
import concurrent.futures
import logging
import random
from abc import ABC, abstractmethod
from typing import List, Optional, Union
import numpy as np
from accelerate import Accelerator
from huggingface_hub import InferenceClient
from ..import_utils import is_llmblender_available, is_openai_available
if is_llmblend... | trl/trl/trainer/judges.py/0 | {
"file_path": "trl/trl/trainer/judges.py",
"repo_id": "trl",
"token_count": 4629
} | 466 |
# 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... | trl/trl/trainer/sft_config.py/0 | {
"file_path": "trl/trl/trainer/sft_config.py",
"repo_id": "trl",
"token_count": 1381
} | 467 |
# Benchmarks
The folders below contain suites to test various functionalities in Accelerate.
See their relevant README.md's for more information.
| accelerate/benchmarks/README.md/0 | {
"file_path": "accelerate/benchmarks/README.md",
"repo_id": "accelerate",
"token_count": 34
} | 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 ... | accelerate/docs/README.md/0 | {
"file_path": "accelerate/docs/README.md",
"repo_id": "accelerate",
"token_count": 2883
} | 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 applicable law or agreed... | accelerate/docs/source/concept_guides/performance.md/0 | {
"file_path": "accelerate/docs/source/concept_guides/performance.md",
"repo_id": "accelerate",
"token_count": 1463
} | 2 |
<!--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/low_precision_training.md/0 | {
"file_path": "accelerate/docs/source/usage_guides/low_precision_training.md",
"repo_id": "accelerate",
"token_count": 1946
} | 3 |
# Specify distributed_type as `MULTI_GPU` for DDP
distributed_type: "MULTI_GPU"
# Can be one of "no", "fp16", or "bf16" (see `transformer_engine.yaml` for `fp8`)
mixed_precision: "bf16"
# Specify the number of GPUs to use
num_processes: 2 | accelerate/examples/config_yaml_templates/multi_gpu.yaml/0 | {
"file_path": "accelerate/examples/config_yaml_templates/multi_gpu.yaml",
"repo_id": "accelerate",
"token_count": 93
} | 4 |
# 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... | accelerate/examples/inference/pippy/llama.py/0 | {
"file_path": "accelerate/examples/inference/pippy/llama.py",
"repo_id": "accelerate",
"token_count": 768
} | 5 |
#!/usr/bin/env python
# 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
#
# Unles... | accelerate/src/accelerate/commands/config/__init__.py/0 | {
"file_path": "accelerate/src/accelerate/commands/config/__init__.py",
"repo_id": "accelerate",
"token_count": 516
} | 6 |
# 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/selection_menu.py/0 | {
"file_path": "accelerate/src/accelerate/commands/menu/selection_menu.py",
"repo_id": "accelerate",
"token_count": 2187
} | 7 |
#!/usr/bin/env python
# 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
#
# Unles... | accelerate/src/accelerate/test_utils/examples.py/0 | {
"file_path": "accelerate/src/accelerate/test_utils/examples.py",
"repo_id": "accelerate",
"token_count": 2735
} | 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 required by applicabl... | accelerate/src/accelerate/test_utils/scripts/test_sync.py/0 | {
"file_path": "accelerate/src/accelerate/test_utils/scripts/test_sync.py",
"repo_id": "accelerate",
"token_count": 7905
} | 9 |
# 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 | {
"file_path": "accelerate/src/accelerate/utils/offload.py",
"repo_id": "accelerate",
"token_count": 3177
} | 10 |
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 | {
"file_path": "accelerate/tests/test_configs/0_11_0.yaml",
"repo_id": "accelerate",
"token_count": 95
} | 11 |
# 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_memory_utils.py/0 | {
"file_path": "accelerate/tests/test_memory_utils.py",
"repo_id": "accelerate",
"token_count": 1740
} | 12 |
# Model arguments
model_name_or_path: mistralai/Mistral-7B-v0.1
model_revision: main
torch_dtype: bfloat16
attn_implementation: flash_attention_2
# Data training arguments
chat_template: "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif mes... | alignment-handbook/recipes/constitutional-ai/sft/config_anthropic.yaml/0 | {
"file_path": "alignment-handbook/recipes/constitutional-ai/sft/config_anthropic.yaml",
"repo_id": "alignment-handbook",
"token_count": 611
} | 13 |
# Instructions to train Zephyr-141B-A35B with ORPO
This model is fine-tuned via a novel alignment algorithm called [Odds Ratio Preference Optimization (ORPO)](https://huggingface.co/papers/2403.07691). ORPO does not require an SFT step to achieve high performance and is thus much more computationally efficient than m... | alignment-handbook/recipes/zephyr-141b-A35b/README.md/0 | {
"file_path": "alignment-handbook/recipes/zephyr-141b-A35b/README.md",
"repo_id": "alignment-handbook",
"token_count": 496
} | 14 |
# 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/setup.py/0 | {
"file_path": "alignment-handbook/setup.py",
"repo_id": "alignment-handbook",
"token_count": 2001
} | 15 |
# Using MKL
| candle/candle-book/src/advanced/mkl.md/0 | {
"file_path": "candle/candle-book/src/advanced/mkl.md",
"repo_id": "candle",
"token_count": 5
} | 16 |
# Using the hub
Install the [`hf-hub`](https://github.com/huggingface/hf-hub) crate:
```bash
cargo add hf-hub
```
Then let's start by downloading the [model file](https://huggingface.co/bert-base-uncased/tree/main).
```rust
# extern crate candle_core;
# extern crate hf_hub;
use hf_hub::api::sync::Api;
use candle_c... | candle/candle-book/src/inference/hub.md/0 | {
"file_path": "candle/candle-book/src/inference/hub.md",
"repo_id": "candle",
"token_count": 1098
} | 17 |
pub(crate) mod affine;
pub(crate) mod conv_transpose2d;
pub(crate) mod matmul;
pub(crate) mod qmatmul;
pub(crate) mod random;
pub(crate) mod unary;
pub(crate) mod where_cond;
use candle_core::{Device, Result};
pub(crate) trait BenchDevice {
fn sync(&self) -> Result<()>;
fn bench_name<S: Into<String>>(&self, ... | candle/candle-core/benches/benchmarks/mod.rs/0 | {
"file_path": "candle/candle-core/benches/benchmarks/mod.rs",
"repo_id": "candle",
"token_count": 1055
} | 18 |
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 | {
"file_path": "candle/candle-core/src/cpu/kernels.rs",
"repo_id": "candle",
"token_count": 2328
} | 19 |
#![allow(dead_code)]
use crate::op::{BinaryOpT, CmpOp, ReduceOp, UnaryOpT};
use crate::{CpuStorage, DType, Error, Layout, Result, Shape};
#[derive(Debug, Clone)]
pub struct MetalDevice;
#[derive(Debug)]
pub struct MetalStorage;
#[derive(thiserror::Error, Debug)]
pub enum MetalError {
#[error("{0}")]
Message(... | candle/candle-core/src/dummy_metal_backend.rs/0 | {
"file_path": "candle/candle-core/src/dummy_metal_backend.rs",
"repo_id": "candle",
"token_count": 3042
} | 20 |
//! Support for the GGUF file format.
//!
//! Spec: https://github.com/philpax/ggml/blob/gguf-spec/docs/gguf.md
use super::{GgmlDType, QTensor};
use crate::{Device, Result};
use byteorder::{LittleEndian, ReadBytesExt, WriteBytesExt};
use std::collections::HashMap;
pub const DEFAULT_ALIGNMENT: u64 = 32;
#[derive(Debu... | candle/candle-core/src/quantized/gguf_file.rs/0 | {
"file_path": "candle/candle-core/src/quantized/gguf_file.rs",
"repo_id": "candle",
"token_count": 9545
} | 21 |
use crate::{Result, Tensor};
#[macro_export]
macro_rules! test_device {
// TODO: Switch to generating the two last arguments automatically once concat_idents is
// stable. https://github.com/rust-lang/rust/issues/29599
($fn_name: ident, $test_cpu: ident, $test_cuda: ident, $test_metal: ident) => {
... | candle/candle-core/src/test_utils.rs/0 | {
"file_path": "candle/candle-core/src/test_utils.rs",
"repo_id": "candle",
"token_count": 923
} | 22 |
use candle_core::{DType, Result, Tensor};
struct TmpFile(std::path::PathBuf);
impl TmpFile {
fn create(base: &str) -> TmpFile {
let filename = std::env::temp_dir().join(format!(
"candle-{}-{}-{:?}",
base,
std::process::id(),
std::thread::current().id(),
... | candle/candle-core/tests/serialization_tests.rs/0 | {
"file_path": "candle/candle-core/tests/serialization_tests.rs",
"repo_id": "candle",
"token_count": 981
} | 23 |
[package]
name = "candle-examples"
version.workspace = true
edition.workspace = true
description.workspace = true
repository.workspace = true
keywords.workspace = true
categories.workspace = true
license.workspace = true
readme = "README.md"
[dependencies]
accelerate-src = { workspace = true, optional = true }
candle ... | candle/candle-examples/Cargo.toml/0 | {
"file_path": "candle/candle-examples/Cargo.toml",
"repo_id": "candle",
"token_count": 1200
} | 24 |
* candle-codegeex4_9b
THUDM/CodeGeeX4 is a versatile model for all AI software development scenarios, including code completion, code interpreter, web search, function calling, repository-level Q&A and much more.
- [[https://github.com/THUDM/CodeGeeX4][Github]]
- [[https://codegeex.cn/][HomePage]]
- [[https://huggingf... | candle/candle-examples/examples/codegeex4-9b/README.org/0 | {
"file_path": "candle/candle-examples/examples/codegeex4-9b/README.org",
"repo_id": "candle",
"token_count": 1132
} | 25 |
# candle-distilbert
DistilBert is a distiled version of the Bert model.
## Sentence embeddings
DistilBert is used to compute the sentence embeddings for a prompt. The model weights
are downloaded from the hub on the first run.
```bash
cargo run --example distilbert --release -- --prompt "Here is a test sentence"
>... | candle/candle-examples/examples/distilbert/README.md/0 | {
"file_path": "candle/candle-examples/examples/distilbert/README.md",
"repo_id": "candle",
"token_count": 367
} | 26 |
// 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_multiprocess/main.rs/0 | {
"file_path": "candle/candle-examples/examples/llama_multiprocess/main.rs",
"repo_id": "candle",
"token_count": 3774
} | 27 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use anyhow::Result;
use clap::Parser;
use std::io::Write;
use candle_transformers::generation::LogitsProcessor;
use candle_transformers::models::encodec;
use candle_transformers::models::metavoice::{adapte... | candle/candle-examples/examples/metavoice/main.rs/0 | {
"file_path": "candle/candle-examples/examples/metavoice/main.rs",
"repo_id": "candle",
"token_count": 4560
} | 28 |
# candle-olmo: Open Language Models designed to enable the science of language models
OLMo is a series of Open Language Models designed to enable the science of language models.
- **Project Page:** https://allenai.org/olmo
- **Paper:** [Link](https://arxiv.org/abs/2402.00838)
- **Technical blog post:** https://blog.a... | candle/candle-examples/examples/olmo/README.md/0 | {
"file_path": "candle/candle-examples/examples/olmo/README.md",
"repo_id": "candle",
"token_count": 504
} | 29 |
# candle-repvgg
[RepVGG: Making VGG-style ConvNets Great Again](https://arxiv.org/abs/2101.03697).
This candle implementation uses a pre-trained RepVGG network for inference. The
classification head has been trained on the ImageNet dataset and returns the
probabilities for the top-5 classes.
## Running an example
`... | candle/candle-examples/examples/repvgg/README.md/0 | {
"file_path": "candle/candle-examples/examples/repvgg/README.md",
"repo_id": "candle",
"token_count": 254
} | 30 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use anyhow::Result;
use clap::Parser;
use candle::{DType, Tensor};
use candle_onnx;
#[derive(Clone, Debug, Copy, PartialEq, Eq, clap::ValueEnum)]
enum Which {
#[value(name = "silero")]
Silero,
}
... | candle/candle-examples/examples/silero-vad/main.rs/0 | {
"file_path": "candle/candle-examples/examples/silero-vad/main.rs",
"repo_id": "candle",
"token_count": 2902
} | 31 |
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