text stringlengths 7 318k | id stringlengths 14 166 | metadata dict | __index_level_0__ int64 0 439 |
|---|---|---|---|
# 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/bark/test_processor_bark.py/0 | {
"file_path": "transformers/tests/models/bark/test_processor_bark.py",
"repo_id": "transformers",
"token_count": 1928
} | 355 |
# coding=utf-8
# Copyright 2023 The Intel Labs Team Authors, The Microsoft Research 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 a... | transformers/tests/models/bridgetower/test_modeling_bridgetower.py/0 | {
"file_path": "transformers/tests/models/bridgetower/test_modeling_bridgetower.py",
"repo_id": "transformers",
"token_count": 11285
} | 356 |
# 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/clvp/test_modeling_clvp.py/0 | {
"file_path": "transformers/tests/models/clvp/test_modeling_clvp.py",
"repo_id": "transformers",
"token_count": 11682
} | 357 |
# 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/convnext/test_modeling_convnext.py/0 | {
"file_path": "transformers/tests/models/convnext/test_modeling_convnext.py",
"repo_id": "transformers",
"token_count": 4656
} | 358 |
""" Testing suite for the Tensorflow CvT model. """
from __future__ import annotations
import inspect
import unittest
from math import floor
import numpy as np
from transformers import CvtConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, ... | transformers/tests/models/cvt/test_modeling_tf_cvt.py/0 | {
"file_path": "transformers/tests/models/cvt/test_modeling_tf_cvt.py",
"repo_id": "transformers",
"token_count": 4675
} | 359 |
# 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/dinat/test_modeling_dinat.py/0 | {
"file_path": "transformers/tests/models/dinat/test_modeling_dinat.py",
"repo_id": "transformers",
"token_count": 6345
} | 360 |
# 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/dpr/test_modeling_tf_dpr.py/0 | {
"file_path": "transformers/tests/models/dpr/test_modeling_tf_dpr.py",
"repo_id": "transformers",
"token_count": 4568
} | 361 |
import unittest
import numpy as np
from transformers import ElectraConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask
if is_flax_available():
from transformers.models.electra.modeli... | transformers/tests/models/electra/test_modeling_flax_electra.py/0 | {
"file_path": "transformers/tests/models/electra/test_modeling_flax_electra.py",
"repo_id": "transformers",
"token_count": 2277
} | 362 |
# 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": 5965
} | 363 |
# 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/gpt_neo/test_modeling_gpt_neo.py/0 | {
"file_path": "transformers/tests/models/gpt_neo/test_modeling_gpt_neo.py",
"repo_id": "transformers",
"token_count": 11505
} | 364 |
# 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/graphormer/test_modeling_graphormer.py/0 | {
"file_path": "transformers/tests/models/graphormer/test_modeling_graphormer.py",
"repo_id": "transformers",
"token_count": 45752
} | 365 |
# coding=utf-8
# Copyright 2021 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/imagegpt/test_image_processing_imagegpt.py/0 | {
"file_path": "transformers/tests/models/imagegpt/test_image_processing_imagegpt.py",
"repo_id": "transformers",
"token_count": 4306
} | 366 |
# coding=utf-8
# Copyright 2018 The Microsoft Research Asia LayoutLM Team Authors, The Hugging Face 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/license... | transformers/tests/models/layoutlm/test_tokenization_layoutlm.py/0 | {
"file_path": "transformers/tests/models/layoutlm/test_tokenization_layoutlm.py",
"repo_id": "transformers",
"token_count": 1057
} | 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/longformer/test_modeling_tf_longformer.py/0 | {
"file_path": "transformers/tests/models/longformer/test_modeling_tf_longformer.py",
"repo_id": "transformers",
"token_count": 15156
} | 368 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/models/marian/test_modeling_flax_marian.py/0 | {
"file_path": "transformers/tests/models/marian/test_modeling_flax_marian.py",
"repo_id": "transformers",
"token_count": 8297
} | 369 |
# 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/mgp_str/test_tokenization_mgp_str.py/0 | {
"file_path": "transformers/tests/models/mgp_str/test_tokenization_mgp_str.py",
"repo_id": "transformers",
"token_count": 1600
} | 370 |
# 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/models/opt/test_modeling_flax_opt.py/0 | {
"file_path": "transformers/tests/models/opt/test_modeling_flax_opt.py",
"repo_id": "transformers",
"token_count": 7181
} | 371 |
# 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/pix2struct/test_modeling_pix2struct.py/0 | {
"file_path": "transformers/tests/models/pix2struct/test_modeling_pix2struct.py",
"repo_id": "transformers",
"token_count": 15362
} | 372 |
# 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/roformer/test_tokenization_roformer.py/0 | {
"file_path": "transformers/tests/models/roformer/test_tokenization_roformer.py",
"repo_id": "transformers",
"token_count": 1393
} | 373 |
# 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/segformer/test_modeling_segformer.py/0 | {
"file_path": "transformers/tests/models/segformer/test_modeling_segformer.py",
"repo_id": "transformers",
"token_count": 7794
} | 374 |
# 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/speech_to_text/test_modeling_tf_speech_to_text.py/0 | {
"file_path": "transformers/tests/models/speech_to_text/test_modeling_tf_speech_to_text.py",
"repo_id": "transformers",
"token_count": 11904
} | 375 |
# 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/tvlt/test_feature_extraction_tvlt.py/0 | {
"file_path": "transformers/tests/models/tvlt/test_feature_extraction_tvlt.py",
"repo_id": "transformers",
"token_count": 3058
} | 376 |
# 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/vision_text_dual_encoder/test_modeling_tf_vision_text_dual_encoder.py/0 | {
"file_path": "transformers/tests/models/vision_text_dual_encoder/test_modeling_tf_vision_text_dual_encoder.py",
"repo_id": "transformers",
"token_count": 7464
} | 377 |
# 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/wav2vec2/test_modeling_wav2vec2.py/0 | {
"file_path": "transformers/tests/models/wav2vec2/test_modeling_wav2vec2.py",
"repo_id": "transformers",
"token_count": 38332
} | 378 |
# 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/whisper/test_modeling_flax_whisper.py/0 | {
"file_path": "transformers/tests/models/whisper/test_modeling_flax_whisper.py",
"repo_id": "transformers",
"token_count": 18549
} | 379 |
# 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_translation.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_translation.py",
"repo_id": "transformers",
"token_count": 3092
} | 380 |
# 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/repo_utils/test_check_docstrings.py/0 | {
"file_path": "transformers/tests/repo_utils/test_check_docstrings.py",
"repo_id": "transformers",
"token_count": 1935
} | 381 |
# 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_backbone_common.py/0 | {
"file_path": "transformers/tests/test_backbone_common.py",
"repo_id": "transformers",
"token_count": 4375
} | 382 |
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/test_processing_common.py/0 | {
"file_path": "transformers/tests/test_processing_common.py",
"repo_id": "transformers",
"token_count": 1720
} | 383 |
# 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_text_question_answering.py/0 | {
"file_path": "transformers/tests/tools/test_text_question_answering.py",
"repo_id": "transformers",
"token_count": 742
} | 384 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/utils/test_add_new_model_like.py/0 | {
"file_path": "transformers/tests/utils/test_add_new_model_like.py",
"repo_id": "transformers",
"token_count": 25261
} | 385 |
# coding=utf-8
# Copyright 2019 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/utils/test_modeling_tf_core.py/0 | {
"file_path": "transformers/tests/utils/test_modeling_tf_core.py",
"repo_id": "transformers",
"token_count": 9190
} | 386 |
# 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_repo.py/0 | {
"file_path": "transformers/utils/check_repo.py",
"repo_id": "transformers",
"token_count": 19261
} | 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/utils/notification_service.py/0 | {
"file_path": "transformers/utils/notification_service.py",
"repo_id": "transformers",
"token_count": 21515
} | 388 |
from transformers import BertTokenizerFast
from .custom_tokenization import CustomTokenizer
class CustomTokenizerFast(BertTokenizerFast):
slow_tokenizer_class = CustomTokenizer
pass
| transformers/utils/test_module/custom_tokenization_fast.py/0 | {
"file_path": "transformers/utils/test_module/custom_tokenization_fast.py",
"repo_id": "transformers",
"token_count": 54
} | 389 |
export WANDB_ENTITY=huggingface
export WANDB_PROJECT=trl
bash $BENCHMARK_SCRIPT > output.txt
# Extract Job IDs into an array
job_ids=($(grep "Job ID:" output.txt | awk '{print $3}'))
# Extract WANDB_TAGS into an array
WANDB_TAGS=($(grep "WANDB_TAGS:" output.txt | awk '{print $2}'))
WANDB_TAGS=($(echo $WANDB_TAGS | tr... | trl/benchmark/benchmark_and_report.sh/0 | {
"file_path": "trl/benchmark/benchmark_and_report.sh",
"repo_id": "trl",
"token_count": 387
} | 390 |
- sections:
- local: index
title: TRL
- local: quickstart
title: Quickstart
- local: installation
title: Installation
- local: how_to_train
title: PPO Training FAQ
- local: use_model
title: Use Trained Models
- local: customization
title: Customize the Training
- local: logging
... | trl/docs/source/_toctree.yml/0 | {
"file_path": "trl/docs/source/_toctree.yml",
"repo_id": "trl",
"token_count": 479
} | 391 |
# PPO Trainer
TRL supports the [PPO](https://arxiv.org/abs/1707.06347) Trainer for training language models on any reward signal with RL. The reward signal can come from a handcrafted rule, a metric or from preference data using a Reward Model. For a full example have a look at [`examples/notebooks/gpt2-sentiment.ipyn... | trl/docs/source/ppo_trainer.mdx/0 | {
"file_path": "trl/docs/source/ppo_trainer.mdx",
"repo_id": "trl",
"token_count": 2120
} | 392 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | trl/examples/research_projects/tools/triviaqa.py/0 | {
"file_path": "trl/examples/research_projects/tools/triviaqa.py",
"repo_id": "trl",
"token_count": 2571
} | 393 |
""" trl is an open library for RL with transformer models.
Note:
VERSION needs to be formatted following the MAJOR.MINOR.PATCH convention
(we need to follow this convention to be able to retrieve versioned scripts)
Simple check list for release from AllenNLP repo: https://github.com/allenai/allennlp/blob/maste... | trl/setup.py/0 | {
"file_path": "trl/setup.py",
"repo_id": "trl",
"token_count": 1462
} | 394 |
# 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/tests/test_no_peft.py/0 | {
"file_path": "trl/tests/test_no_peft.py",
"repo_id": "trl",
"token_count": 2529
} | 395 |
# 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/models/modeling_base.py/0 | {
"file_path": "trl/trl/models/modeling_base.py",
"repo_id": "trl",
"token_count": 13120
} | 396 |
# 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/trainer/utils.py/0 | {
"file_path": "trl/trl/trainer/utils.py",
"repo_id": "trl",
"token_count": 14555
} | 397 |
# Big model inference benchmarks
Running inference with Accelerate on big models.
## Setup
These benchmarks use the `transformers` library:
```bash
pip install transformers
```
To reproduce or test a new setup, run
```py
python inference_acc.py model_name
```
This script supports `gpt-j-6b`, `gpt-neox`, `opt` (3... | accelerate/benchmarks/README.md/0 | {
"file_path": "accelerate/benchmarks/README.md",
"repo_id": "accelerate",
"token_count": 702
} | 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/gradient_synchronization.md/0 | {
"file_path": "accelerate/docs/source/concept_guides/gradient_synchronization.md",
"repo_id": "accelerate",
"token_count": 2385
} | 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/usage_guides/megatron_lm.md/0 | {
"file_path": "accelerate/docs/source/usage_guides/megatron_lm.md",
"repo_id": "accelerate",
"token_count": 9556
} | 2 |
#!/bin/bash
#SBATCH --job-name=multigpu
#SBATCH -D .
#SBATCH --output=O-%x.%j
#SBATCH --error=E-%x.%j
#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1 # number of MP tasks
#SBATCH --gres=gpu:4 # number of GPUs per node
#SBATCH --cpus-per-task=160 # number of cores per tasks
#SBATCH --time=0... | accelerate/examples/slurm/submit_multigpu.sh/0 | {
"file_path": "accelerate/examples/slurm/submit_multigpu.sh",
"repo_id": "accelerate",
"token_count": 326
} | 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/selection_menu.py/0 | {
"file_path": "accelerate/src/accelerate/commands/menu/selection_menu.py",
"repo_id": "accelerate",
"token_count": 2186
} | 4 |
# 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/dataclasses.py/0 | {
"file_path": "accelerate/src/accelerate/utils/dataclasses.py",
"repo_id": "accelerate",
"token_count": 30145
} | 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/transformer_engine.py/0 | {
"file_path": "accelerate/src/accelerate/utils/transformer_engine.py",
"repo_id": "accelerate",
"token_count": 1481
} | 6 |
# 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_examples.py/0 | {
"file_path": "accelerate/tests/test_examples.py",
"repo_id": "accelerate",
"token_count": 4059
} | 7 |
# 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_state_checkpointing.py/0 | {
"file_path": "accelerate/tests/test_state_checkpointing.py",
"repo_id": "accelerate",
"token_count": 8655
} | 8 |
# 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": 1995
} | 9 |
{
"[python]": {
"editor.defaultFormatter": "ms-python.black-formatter"
},
"python.formatting.provider": "none",
"python.testing.pytestArgs": [
"candle-pyo3"
],
"python.testing.unittestEnabled": false,
"python.testing.pytestEnabled": true
} | candle/.vscode/settings.json/0 | {
"file_path": "candle/.vscode/settings.json",
"repo_id": "candle",
"token_count": 123
} | 10 |
# Creating a WASM app
| candle/candle-book/src/apps/wasm.md/0 | {
"file_path": "candle/candle-book/src/apps/wasm.md",
"repo_id": "candle",
"token_count": 7
} | 11 |
# Fine-tuning
| candle/candle-book/src/training/finetuning.md/0 | {
"file_path": "candle/candle-book/src/training/finetuning.md",
"repo_id": "candle",
"token_count": 6
} | 12 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use std::str::FromStr;
use anyhow::Result;
use candle_core::{Device, Tensor};
fn cos_sin(n: usize, device: &Device) -> Result<Tensor> {
let thetas: Vec<_> = (0..n).map(|i| (i as f32 / n as f32)).colle... | candle/candle-core/examples/cuda_sum_benchmark.rs/0 | {
"file_path": "candle/candle-core/examples/cuda_sum_benchmark.rs",
"repo_id": "candle",
"token_count": 827
} | 13 |
use crate::backend::BackendDevice;
use crate::cpu_backend::CpuDevice;
use crate::{CpuStorage, DType, Result, Shape, Storage, WithDType};
/// A `DeviceLocation` represents a physical device whereas multiple `Device`
/// can live on the same location (typically for cuda devices).
#[derive(Debug, Copy, Clone, PartialEq, ... | candle/candle-core/src/device.rs/0 | {
"file_path": "candle/candle-core/src/device.rs",
"repo_id": "candle",
"token_count": 5149
} | 14 |
//! 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": 9397
} | 15 |
use anyhow::Result;
use candle_core::{test_device, test_utils, Device, IndexOp, Tensor};
/* This test is based on the following script.
import torch
torch.manual_seed(4242)
t = torch.randn((1, 4, 5))
w = torch.randn((2, 4, 3))
print(t.flatten())
print(w.flatten())
res = torch.nn.functional.conv1d(t, w)
print(res.flat... | candle/candle-core/tests/conv_tests.rs/0 | {
"file_path": "candle/candle-core/tests/conv_tests.rs",
"repo_id": "candle",
"token_count": 14583
} | 16 |
use hf_hub::{
api::sync::{Api, ApiRepo},
Repo, RepoType,
};
use parquet::file::reader::SerializedFileReader;
use std::fs::File;
#[derive(thiserror::Error, Debug)]
pub enum Error {
#[error("ApiError : {0}")]
ApiError(#[from] hf_hub::api::sync::ApiError),
#[error("IoError : {0}")]
IoError(#[from... | candle/candle-datasets/src/hub.rs/0 | {
"file_path": "candle/candle-datasets/src/hub.rs",
"repo_id": "candle",
"token_count": 900
} | 17 |
use crate::model::{Cache, Config, Llama};
use candle::{DType, Device, Result};
use candle_datasets::nlp::tinystories::{Dataset, DatasetRandomIter};
use candle_nn::Optimizer;
fn valid_loss(
dataset: &Dataset,
model: &Llama,
args: &crate::TrainingCmd,
device: &Device,
) -> Result<f64> {
let iter = Da... | candle/candle-examples/examples/llama2-c/training.rs/0 | {
"file_path": "candle/candle-examples/examples/llama2-c/training.rs",
"repo_id": "candle",
"token_count": 1126
} | 18 |
use crate::nn::conv1d_weight_norm;
use candle::{DType, IndexOp, Module, Result, Tensor};
use candle_nn::{conv1d, Conv1d, Conv1dConfig, VarBuilder};
// Encodec Model
// https://github.com/huggingface/transformers/blob/main/src/transformers/models/encodec/modeling_encodec.py
#[derive(Debug, Clone, PartialEq)]
enum Norm... | candle/candle-examples/examples/musicgen/encodec_model.rs/0 | {
"file_path": "candle/candle-examples/examples/musicgen/encodec_model.rs",
"repo_id": "candle",
"token_count": 9178
} | 19 |
use std::collections::VecDeque;
use std::fmt::Display;
use candle::{DType, Device, Error, Module, Result, Tensor, Var};
use candle_nn::{
func, linear, sequential::seq, Activation, AdamW, Optimizer, ParamsAdamW, Sequential,
VarBuilder, VarMap,
};
use rand::{distributions::Uniform, thread_rng, Rng};
use super::... | candle/candle-examples/examples/reinforcement-learning/ddpg.rs/0 | {
"file_path": "candle/candle-examples/examples/reinforcement-learning/ddpg.rs",
"repo_id": "candle",
"token_count": 8526
} | 20 |
//! SAM: Segment Anything Model
//! https://github.com/facebookresearch/segment-anything
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use candle::DType;
use candle_nn::VarBuilder;
use candle_transformers::models::segment_anything::sam;
use clap::Pars... | candle/candle-examples/examples/segment-anything/main.rs/0 | {
"file_path": "candle/candle-examples/examples/segment-anything/main.rs",
"repo_id": "candle",
"token_count": 3129
} | 21 |
# candle-whisper: speech recognition
An implementation of [OpenAI Whisper](https://github.com/openai/whisper) using
candle. Whisper is a general purpose speech recognition model, it can be used to
convert audio files (in the `.wav` format) to text. Supported features include
language detection as well as multilingual ... | candle/candle-examples/examples/whisper/README.md/0 | {
"file_path": "candle/candle-examples/examples/whisper/README.md",
"repo_id": "candle",
"token_count": 569
} | 22 |
/******************************************************************************
* Copyright (c) 2023, Tri Dao.
******************************************************************************/
#pragma once
#include <cute/algorithm/copy.hpp>
#include <cutlass/cutlass.h>
#include <cutlass/array.h>
#include <cutlass/nu... | candle/candle-flash-attn/kernels/flash_fwd_kernel.h/0 | {
"file_path": "candle/candle-flash-attn/kernels/flash_fwd_kernel.h",
"repo_id": "candle",
"token_count": 16384
} | 23 |
#include "cuda_utils.cuh"
#define BINARY_OP_OUT(TYPENAME, OUT_TYPENAME, FN_NAME, FUNC) \
extern "C" __global__ void FN_NAME( \
const size_t numel, \
const size_t num_dims, \
const size_t *dims_and_strides, \
const TYPENAME *lhs, \
const TYPENAME *rhs, \
OUT_TYPENAME *out \
) { \
const size_... | candle/candle-kernels/src/binary_op_macros.cuh/0 | {
"file_path": "candle/candle-kernels/src/binary_op_macros.cuh",
"repo_id": "candle",
"token_count": 1539
} | 24 |
template <typename T>
METAL_FUNC void im2col(
constant size_t &dst_numel,
constant size_t &h_out,
constant size_t &w_out,
constant size_t &h_k,
constant size_t &w_k,
constant size_t &stride,
constant size_t &padding,
constant size_t &dilation,
constant size_t *src_dims,
constant ... | candle/candle-metal-kernels/src/conv.metal/0 | {
"file_path": "candle/candle-metal-kernels/src/conv.metal",
"repo_id": "candle",
"token_count": 3054
} | 25 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use candle::{DType, Device, Result, Tensor};
use candle_nn::{linear, AdamW, Linear, Module, Optimizer, ParamsAdamW, VarBuilder, VarMap};
fn gen_data() -> Result<(Tensor, Tensor)> {
// Generate some sam... | candle/candle-nn/examples/basic_optimizer.rs/0 | {
"file_path": "candle/candle-nn/examples/basic_optimizer.rs",
"repo_id": "candle",
"token_count": 595
} | 26 |
//! Recurrent Neural Networks
use candle::{DType, Device, IndexOp, Result, Tensor};
/// Trait for Recurrent Neural Networks.
#[allow(clippy::upper_case_acronyms)]
pub trait RNN {
type State: Clone;
/// A zero state from which the recurrent network is usually initialized.
fn zero_state(&self, batch_dim: us... | candle/candle-nn/src/rnn.rs/0 | {
"file_path": "candle/candle-nn/src/rnn.rs",
"repo_id": "candle",
"token_count": 4874
} | 27 |
use candle::Result;
use prost::Message;
pub mod onnx {
include!(concat!(env!("OUT_DIR"), "/onnx.rs"));
}
pub mod eval;
pub use eval::{dtype, simple_eval};
pub fn read_file<P: AsRef<std::path::Path>>(p: P) -> Result<onnx::ModelProto> {
let buf = std::fs::read(p)?;
onnx::ModelProto::decode(buf.as_slice()).... | candle/candle-onnx/src/lib.rs/0 | {
"file_path": "candle/candle-onnx/src/lib.rs",
"repo_id": "candle",
"token_count": 154
} | 28 |
from .module import Module
from .container import Sequential, ModuleList, ModuleDict
from .sparse import Embedding
from .normalization import LayerNorm
from .linear import Linear
| candle/candle-pyo3/py_src/candle/nn/__init__.py/0 | {
"file_path": "candle/candle-pyo3/py_src/candle/nn/__init__.py",
"repo_id": "candle",
"token_count": 43
} | 29 |
use ::candle::Tensor;
use pyo3::prelude::*;
#[derive(Clone, Debug)]
/// Represents an absolute shape e.g. (1, 2, 3)
pub struct PyShape(Vec<usize>);
impl<'source> pyo3::FromPyObject<'source> for PyShape {
fn extract(ob: &'source PyAny) -> PyResult<Self> {
if ob.is_none() {
return Err(PyErr::new... | candle/candle-pyo3/src/shape.rs/0 | {
"file_path": "candle/candle-pyo3/src/shape.rs",
"repo_id": "candle",
"token_count": 1646
} | 30 |
use super::with_tracing::{layer_norm, linear, LayerNorm, Linear};
use candle::{DType, Device, Result, Tensor};
use candle_nn::{embedding, Embedding, Module, VarBuilder};
use serde::Deserialize;
pub const DTYPE: DType = DType::F32;
#[derive(Debug, Clone, Copy, PartialEq, Eq, Deserialize)]
#[serde(rename_all = "lowerca... | candle/candle-transformers/src/models/bert.rs/0 | {
"file_path": "candle/candle-transformers/src/models/bert.rs",
"repo_id": "candle",
"token_count": 7941
} | 31 |
use crate::models::with_tracing::{linear_no_bias, Linear};
/// Mixtral Model
/// https://github.com/huggingface/transformers/blob/main/src/transformers/models/mixtral/modeling_mixtral.py
/// https://mistral.ai/news/mixtral-of-experts/
use candle::{DType, Device, Module, Result, Tensor, D};
use candle_nn::{Activation, V... | candle/candle-transformers/src/models/mixtral.rs/0 | {
"file_path": "candle/candle-transformers/src/models/mixtral.rs",
"repo_id": "candle",
"token_count": 9339
} | 32 |
//! ResNet implementation.
//!
//! See "Deep Residual Learning for Image Recognition" He et al. 2015
//! <https://arxiv.org/abs/1512.03385>
use candle::{Result, D};
use candle_nn::{batch_norm, Conv2d, Func, VarBuilder};
fn conv2d(
c_in: usize,
c_out: usize,
ksize: usize,
padding: usize,
stride: usi... | candle/candle-transformers/src/models/resnet.rs/0 | {
"file_path": "candle/candle-transformers/src/models/resnet.rs",
"repo_id": "candle",
"token_count": 3959
} | 33 |
#![allow(dead_code)]
//! # Diffusion pipelines and models
//!
//! Noise schedulers can be used to set the trade-off between
//! inference speed and quality.
use candle::{Result, Tensor};
pub trait SchedulerConfig: std::fmt::Debug {
fn build(&self, inference_steps: usize) -> Result<Box<dyn Scheduler>>;
}
/// This ... | candle/candle-transformers/src/models/stable_diffusion/schedulers.rs/0 | {
"file_path": "candle/candle-transformers/src/models/stable_diffusion/schedulers.rs",
"repo_id": "candle",
"token_count": 930
} | 34 |
use candle::{DType, Module, Result, Tensor, D};
use candle_nn::VarBuilder;
// https://github.com/huggingface/diffusers/blob/19edca82f1ff194c07317369a92b470dbae97f34/src/diffusers/pipelines/wuerstchen/modeling_wuerstchen_common.py#L22
#[derive(Debug)]
pub struct WLayerNorm {
eps: f64,
}
impl WLayerNorm {
pub f... | candle/candle-transformers/src/models/wuerstchen/common.rs/0 | {
"file_path": "candle/candle-transformers/src/models/wuerstchen/common.rs",
"repo_id": "candle",
"token_count": 3219
} | 35 |
//load Candle Bert Module wasm module
import init, { Model } from "./build/m.js";
async function fetchArrayBuffer(url) {
const cacheName = "bert-candle-cache";
const cache = await caches.open(cacheName);
const cachedResponse = await cache.match(url);
if (cachedResponse) {
const data = await cachedResponse.... | candle/candle-wasm-examples/bert/bertWorker.js/0 | {
"file_path": "candle/candle-wasm-examples/bert/bertWorker.js",
"repo_id": "candle",
"token_count": 779
} | 36 |
use candle::{DType, Device, Tensor};
use candle_nn::VarBuilder;
use candle_transformers::generation::LogitsProcessor;
use candle_transformers::models::mixformer::{Config, MixFormerSequentialForCausalLM as MixFormer};
use candle_transformers::models::quantized_mixformer::MixFormerSequentialForCausalLM as QMixFormer;
use... | candle/candle-wasm-examples/phi/src/bin/m.rs/0 | {
"file_path": "candle/candle-wasm-examples/phi/src/bin/m.rs",
"repo_id": "candle",
"token_count": 2646
} | 37 |
use crate::languages::LANGUAGES;
use anyhow::Error as E;
use candle::{safetensors::Load, DType, Device, IndexOp, Tensor, D};
use candle_nn::{ops::softmax, VarBuilder};
pub use candle_transformers::models::whisper::{self as m, Config};
use rand::{distributions::Distribution, rngs::StdRng, SeedableRng};
use serde::{Deser... | candle/candle-wasm-examples/whisper/src/worker.rs/0 | {
"file_path": "candle/candle-wasm-examples/whisper/src/worker.rs",
"repo_id": "candle",
"token_count": 8765
} | 38 |
[package]
name = "candle-wasm-tests"
version.workspace = true
edition.workspace = true
description = "WASM tests for candle"
keywords.workspace = true
categories.workspace = true
[dependencies]
candle = { workspace = true }
rand = { workspace = true }
getrandom = { version = "0.2", features = ["js"] }
[dev-dependenci... | candle/candle-wasm-tests/Cargo.toml/0 | {
"file_path": "candle/candle-wasm-tests/Cargo.toml",
"repo_id": "candle",
"token_count": 122
} | 39 |
import type { BackendModel } from "./server/models";
import type { Message } from "./types/Message";
import { format } from "date-fns";
import type { WebSearch } from "./types/WebSearch";
import { downloadFile } from "./server/files/downloadFile";
import type { Conversation } from "./types/Conversation";
interface bui... | chat-ui/src/lib/buildPrompt.ts/0 | {
"file_path": "chat-ui/src/lib/buildPrompt.ts",
"repo_id": "chat-ui",
"token_count": 1677
} | 40 |
<script lang="ts">
import { fade } from "svelte/transition";
import { onDestroy } from "svelte";
import IconChevron from "./icons/IconChevron.svelte";
export let scrollNode: HTMLElement;
export { className as class };
let visible = false;
let className = "";
let observer: ResizeObserver | null = null;
$: if... | chat-ui/src/lib/components/ScrollToBottomBtn.svelte/0 | {
"file_path": "chat-ui/src/lib/components/ScrollToBottomBtn.svelte",
"repo_id": "chat-ui",
"token_count": 460
} | 41 |
<script lang="ts">
export let classNames = "";
</script>
<svg
class={classNames}
xmlns="http://www.w3.org/2000/svg"
aria-hidden="true"
fill="currentColor"
focusable="false"
role="img"
width="1em"
height="1em"
preserveAspectRatio="xMidYMid meet"
viewBox="0 0 32 32"
>
<path
d="M28,10V28H10V10H28m0-2H10a2,2... | chat-ui/src/lib/components/icons/IconCopy.svelte/0 | {
"file_path": "chat-ui/src/lib/components/icons/IconCopy.svelte",
"repo_id": "chat-ui",
"token_count": 299
} | 42 |
import type { Conversation } from "$lib/types/Conversation";
import type { TextGenerationStreamOutput } from "@huggingface/inference";
import { endpointTgi, endpointTgiParametersSchema } from "./tgi/endpointTgi";
import { z } from "zod";
import endpointAws, { endpointAwsParametersSchema } from "./aws/endpointAws";
impo... | chat-ui/src/lib/server/endpoints/endpoints.ts/0 | {
"file_path": "chat-ui/src/lib/server/endpoints/endpoints.ts",
"repo_id": "chat-ui",
"token_count": 506
} | 43 |
import type { YouWebSearch } from "../../types/WebSearch";
import { WebSearchProvider } from "../../types/WebSearch";
import {
SERPAPI_KEY,
SERPER_API_KEY,
SERPSTACK_API_KEY,
USE_LOCAL_WEBSEARCH,
YDC_API_KEY,
} from "$env/static/private";
import { getJson } from "serpapi";
import type { GoogleParameters } from "se... | chat-ui/src/lib/server/websearch/searchWeb.ts/0 | {
"file_path": "chat-ui/src/lib/server/websearch/searchWeb.ts",
"repo_id": "chat-ui",
"token_count": 1332
} | 44 |
import type { WebSearchSource } from "./WebSearch";
export type FinalAnswer = {
type: "finalAnswer";
text: string;
};
export type TextStreamUpdate = {
type: "stream";
token: string;
};
export type AgentUpdate = {
type: "agent";
agent: string;
content: string;
binary?: Blob;
};
export type WebSearchUpdate = ... | chat-ui/src/lib/types/MessageUpdate.ts/0 | {
"file_path": "chat-ui/src/lib/types/MessageUpdate.ts",
"repo_id": "chat-ui",
"token_count": 273
} | 45 |
const file2base64 = (file: File): Promise<string> => {
return new Promise<string>((resolve, reject) => {
const reader = new FileReader();
reader.readAsDataURL(file);
reader.onload = () => {
const dataUrl = reader.result as string;
const base64 = dataUrl.split(",")[1];
resolve(base64);
};
reader.oner... | chat-ui/src/lib/utils/file2base64.ts/0 | {
"file_path": "chat-ui/src/lib/utils/file2base64.ts",
"repo_id": "chat-ui",
"token_count": 142
} | 46 |
<script lang="ts">
import { goto } from "$app/navigation";
import { base } from "$app/paths";
import { PUBLIC_APP_NAME } from "$env/static/public";
import ChatWindow from "$lib/components/chat/ChatWindow.svelte";
import { ERROR_MESSAGES, error } from "$lib/stores/errors";
import { pendingMessage } from "$lib/stor... | chat-ui/src/routes/+page.svelte/0 | {
"file_path": "chat-ui/src/routes/+page.svelte",
"repo_id": "chat-ui",
"token_count": 874
} | 47 |
import { buildPrompt } from "$lib/buildPrompt";
import { authCondition } from "$lib/server/auth";
import { collections } from "$lib/server/database";
import { models } from "$lib/server/models";
import { error } from "@sveltejs/kit";
import { ObjectId } from "mongodb";
export async function GET({ params, locals }) {
... | chat-ui/src/routes/conversation/[id]/message/[messageId]/prompt/+server.ts/0 | {
"file_path": "chat-ui/src/routes/conversation/[id]/message/[messageId]/prompt/+server.ts",
"repo_id": "chat-ui",
"token_count": 582
} | 48 |
import { collections } from "$lib/server/database";
import { z } from "zod";
import { authCondition } from "$lib/server/auth";
import { DEFAULT_SETTINGS } from "$lib/types/Settings";
export async function POST({ request, locals }) {
const body = await request.json();
const { ethicsModalAccepted, ...settings } = z
... | chat-ui/src/routes/settings/+server.ts/0 | {
"file_path": "chat-ui/src/routes/settings/+server.ts",
"repo_id": "chat-ui",
"token_count": 401
} | 49 |
{
"$schema": "https://vega.github.io/schema/vega-lite/v4.json",
"data": {
"values": "<DVC_METRIC_DATA>"
},
"title": "<DVC_METRIC_TITLE>",
"mark": "rect",
"encoding": {
"x": {
"field": "<DVC_METRIC_X>",
"type": "nominal",
"sort": "ascending",
... | datasets/.dvc/plots/confusion.json/0 | {
"file_path": "datasets/.dvc/plots/confusion.json",
"repo_id": "datasets",
"token_count": 450
} | 50 |
# Create an audio dataset
You can share a dataset with your team or with anyone in the community by creating a dataset repository on the Hugging Face Hub:
```py
from datasets import load_dataset
dataset = load_dataset("<username>/my_dataset")
```
There are several methods for creating and sharing an audio dataset:
... | datasets/docs/source/audio_dataset.mdx/0 | {
"file_path": "datasets/docs/source/audio_dataset.mdx",
"repo_id": "datasets",
"token_count": 9843
} | 51 |
# Process image data
This guide shows specific methods for processing image datasets. Learn how to:
- Use [`~Dataset.map`] with image dataset.
- Apply data augmentations to a dataset with [`~Dataset.set_transform`].
For a guide on how to process any type of dataset, take a look at the <a class="underline decoration-... | datasets/docs/source/image_process.mdx/0 | {
"file_path": "datasets/docs/source/image_process.mdx",
"repo_id": "datasets",
"token_count": 1031
} | 52 |
# Utilities
## Configure logging
🤗 Datasets strives to be transparent and explicit about how it works, but this can be quite verbose at times. We have included a series of logging methods which allow you to easily adjust the level of verbosity of the entire library. Currently the default verbosity of the library is ... | datasets/docs/source/package_reference/utilities.mdx/0 | {
"file_path": "datasets/docs/source/package_reference/utilities.mdx",
"repo_id": "datasets",
"token_count": 725
} | 53 |
stages:
benchmark_array_xd:
cmd: python ./benchmarks/benchmark_array_xd.py
deps:
- ./benchmarks/benchmark_array_xd.py
metrics:
- ./benchmarks/results/benchmark_array_xd.json:
cache: false
benchmark_indices_mapping:
cmd: python ./benchmarks/benchmark_indices_mapping.py
deps:
... | datasets/dvc.yaml/0 | {
"file_path": "datasets/dvc.yaml",
"repo_id": "datasets",
"token_count": 456
} | 54 |
# Metric Card for COMET
## Metric description
Crosslingual Optimized Metric for Evaluation of Translation (COMET) is an open-source framework used to train Machine Translation metrics that achieve high levels of correlation with different types of human judgments.
## How to use
COMET takes 3 lists of strings as inp... | datasets/metrics/comet/README.md/0 | {
"file_path": "datasets/metrics/comet/README.md",
"repo_id": "datasets",
"token_count": 2148
} | 55 |
# Copyright 2020 The HuggingFace Datasets Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may 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 ... | datasets/metrics/glue/glue.py/0 | {
"file_path": "datasets/metrics/glue/glue.py",
"repo_id": "datasets",
"token_count": 2408
} | 56 |
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