text stringlengths 7 318k | id stringlengths 14 166 | metadata dict | __index_level_0__ int64 0 439 |
|---|---|---|---|
{
"modelname": "BrandNewBERT",
"uppercase_modelname": "BRAND_NEW_BERT",
"lowercase_modelname": "brand_new_bert",
"camelcase_modelname": "BrandNewBert",
"has_slow_class": ["True", "False"],
"has_fast_class": ["True", "False"],
"slow_tokenizer_use_sentencepiece": ["True", "False"],
"authors": "The Hugging... | transformers/templates/adding_a_missing_tokenization_test/cookiecutter.json/0 | {
"file_path": "transformers/templates/adding_a_missing_tokenization_test/cookiecutter.json",
"repo_id": "transformers",
"token_count": 129
} | 370 |
# coding=utf-8
# Copyright 2022 {{cookiecutter.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/lice... | transformers/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/tokenization_fast_{{cookiecutter.lowercase_modelname}}.py/0 | {
"file_path": "transformers/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/tokenization_fast_{{cookiecutter.lowercase_modelname}}.py",
"repo_id": "transformers",
"token_count": 2997
} | 371 |
# 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
} | 372 |
{
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
"processor_class": "Wav2Vec2Processor"
} | transformers/tests/fixtures/preprocessor_config.json/0 | {
"file_path": "transformers/tests/fixtures/preprocessor_config.json",
"repo_id": "transformers",
"token_count": 41
} | 373 |
# coding=utf-8
# Copyright 2020 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_utils.py/0 | {
"file_path": "transformers/tests/generation/test_utils.py",
"repo_id": "transformers",
"token_count": 75002
} | 374 |
# coding=utf-8
# Copyright 2019-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 a... | transformers/tests/models/auto/test_configuration_auto.py/0 | {
"file_path": "transformers/tests/models/auto/test_configuration_auto.py",
"repo_id": "transformers",
"token_count": 2609
} | 375 |
# 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/bart/test_modeling_flax_bart.py/0 | {
"file_path": "transformers/tests/models/bart/test_modeling_flax_bart.py",
"repo_id": "transformers",
"token_count": 17353
} | 376 |
import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from transformers import AutoConfig, TFAutoModel, is_tensorflow_text_available, is_tf_available
from transformers.models.bert.tokenization_bert import BertTokenizer
from transformers.testing_utils import require_tensorflow_text, require_t... | transformers/tests/models/bert/test_tokenization_bert_tf.py/0 | {
"file_path": "transformers/tests/models/bert/test_tokenization_bert_tf.py",
"repo_id": "transformers",
"token_count": 2059
} | 377 |
# 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_text.py/0 | {
"file_path": "transformers/tests/models/blip/test_modeling_blip_text.py",
"repo_id": "transformers",
"token_count": 2774
} | 378 |
# 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/clap/test_processor_clap.py/0 | {
"file_path": "transformers/tests/models/clap/test_processor_clap.py",
"repo_id": "transformers",
"token_count": 1895
} | 379 |
# 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/convnextv2/test_modeling_convnextv2.py/0 | {
"file_path": "transformers/tests/models/convnextv2/test_modeling_convnextv2.py",
"repo_id": "transformers",
"token_count": 5521
} | 380 |
# 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/data2vec/test_modeling_data2vec_text.py/0 | {
"file_path": "transformers/tests/models/data2vec/test_modeling_data2vec_text.py",
"repo_id": "transformers",
"token_count": 10072
} | 381 |
# 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/esm/test_tokenization_esm.py/0 | {
"file_path": "transformers/tests/models/esm/test_tokenization_esm.py",
"repo_id": "transformers",
"token_count": 2117
} | 382 |
# 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/groupvit/test_modeling_tf_groupvit.py/0 | {
"file_path": "transformers/tests/models/groupvit/test_modeling_tf_groupvit.py",
"repo_id": "transformers",
"token_count": 13387
} | 383 |
# 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/informer/test_modeling_informer.py/0 | {
"file_path": "transformers/tests/models/informer/test_modeling_informer.py",
"repo_id": "transformers",
"token_count": 10012
} | 384 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/layoutlmv2/test_modeling_layoutlmv2.py/0 | {
"file_path": "transformers/tests/models/layoutlmv2/test_modeling_layoutlmv2.py",
"repo_id": "transformers",
"token_count": 9928
} | 385 |
# 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
} | 386 |
# 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/mbart/test_modeling_tf_mbart.py/0 | {
"file_path": "transformers/tests/models/mbart/test_modeling_tf_mbart.py",
"repo_id": "transformers",
"token_count": 3761
} | 387 |
# coding=utf-8
# Copyright 2023 Mistral AI and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2... | transformers/tests/models/mistral/test_modeling_mistral.py/0 | {
"file_path": "transformers/tests/models/mistral/test_modeling_mistral.py",
"repo_id": "transformers",
"token_count": 11190
} | 388 |
# 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/mobilevit/test_image_processing_mobilevit.py/0 | {
"file_path": "transformers/tests/models/mobilevit/test_image_processing_mobilevit.py",
"repo_id": "transformers",
"token_count": 4027
} | 389 |
# 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/mt5/test_modeling_tf_mt5.py/0 | {
"file_path": "transformers/tests/models/mt5/test_modeling_tf_mt5.py",
"repo_id": "transformers",
"token_count": 819
} | 390 |
# 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/nougat/test_image_processing_nougat.py/0 | {
"file_path": "transformers/tests/models/nougat/test_image_processing_nougat.py",
"repo_id": "transformers",
"token_count": 3133
} | 391 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/models/reformer/test_tokenization_reformer.py/0 | {
"file_path": "transformers/tests/models/reformer/test_tokenization_reformer.py",
"repo_id": "transformers",
"token_count": 6375
} | 392 |
# 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_tf_roberta.py/0 | {
"file_path": "transformers/tests/models/roberta/test_modeling_tf_roberta.py",
"repo_id": "transformers",
"token_count": 12720
} | 393 |
# 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/sew/test_modeling_sew.py/0 | {
"file_path": "transformers/tests/models/sew/test_modeling_sew.py",
"repo_id": "transformers",
"token_count": 10134
} | 394 |
# 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/swin/test_modeling_swin.py/0 | {
"file_path": "transformers/tests/models/swin/test_modeling_swin.py",
"repo_id": "transformers",
"token_count": 8750
} | 395 |
# 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/tvlt/test_processor_tvlt.py/0 | {
"file_path": "transformers/tests/models/tvlt/test_processor_tvlt.py",
"repo_id": "transformers",
"token_count": 1552
} | 396 |
# 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/videomae/test_image_processing_videomae.py/0 | {
"file_path": "transformers/tests/models/videomae/test_image_processing_videomae.py",
"repo_id": "transformers",
"token_count": 3755
} | 397 |
# 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/whisper/test_processor_whisper.py/0 | {
"file_path": "transformers/tests/models/whisper/test_processor_whisper.py",
"repo_id": "transformers",
"token_count": 2869
} | 398 |
# 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_image_segmentation.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_image_segmentation.py",
"repo_id": "transformers",
"token_count": 15529
} | 399 |
# 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_zero_shot.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_zero_shot.py",
"repo_id": "transformers",
"token_count": 6335
} | 400 |
# 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/repo_utils/test_tests_fetcher.py/0 | {
"file_path": "transformers/tests/repo_utils/test_tests_fetcher.py",
"repo_id": "transformers",
"token_count": 18132
} | 401 |
# 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/test_configuration_utils.py/0 | {
"file_path": "transformers/tests/test_configuration_utils.py",
"repo_id": "transformers",
"token_count": 5459
} | 402 |
# 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/test_tokenization_utils.py/0 | {
"file_path": "transformers/tests/test_tokenization_utils.py",
"repo_id": "transformers",
"token_count": 4988
} | 403 |
# 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_tools_common.py/0 | {
"file_path": "transformers/tests/tools/test_tools_common.py",
"repo_id": "transformers",
"token_count": 1790
} | 404 |
# coding=utf-8
# Copyright 2019-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 a... | transformers/tests/utils/test_cli.py/0 | {
"file_path": "transformers/tests/utils/test_cli.py",
"repo_id": "transformers",
"token_count": 1489
} | 405 |
# 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_versions_utils.py/0 | {
"file_path": "transformers/tests/utils/test_versions_utils.py",
"repo_id": "transformers",
"token_count": 1539
} | 406 |
# 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_table.py/0 | {
"file_path": "transformers/utils/check_table.py",
"repo_id": "transformers",
"token_count": 4356
} | 407 |
#!/usr/bin/env python3
# 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
#
# Unles... | transformers/utils/print_env.py/0 | {
"file_path": "transformers/utils/print_env.py",
"repo_id": "transformers",
"token_count": 546
} | 408 |
# 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/utils/update_metadata.py/0 | {
"file_path": "transformers/utils/update_metadata.py",
"repo_id": "transformers",
"token_count": 5884
} | 409 |
# compound experiments: gpt2xl + grad_accu
python benchmark/benchmark.py \
--command "python examples/scripts/ppo.py --exp_name ppo_gpt2xl_grad_accu --model_name gpt2-xl --mini_batch_size 16 --gradient_accumulation_steps 8 --log_with wandb" \
--num-seeds 3 \
--start-seed 1 \
--workers 10 \
--slurm-n... | trl/benchmark/benchmark_level2.sh/0 | {
"file_path": "trl/benchmark/benchmark_level2.sh",
"repo_id": "trl",
"token_count": 479
} | 410 |
# Denoising Diffusion Policy Optimization
## The why
| Before | After DDPO finetuning |
| --- | --- |
| <div style="text-align: center"><img src="https://huggingface.co/datasets/trl-internal-testing/example-images/resolve/main/images/pre_squirrel.png"/></div> | <div style="text-align: center"><img src="https://huggin... | trl/docs/source/ddpo_trainer.mdx/0 | {
"file_path": "trl/docs/source/ddpo_trainer.mdx",
"repo_id": "trl",
"token_count": 2407
} | 411 |
# Sentiment Tuning Examples
The notebooks and scripts in this examples show how to fine-tune a model with a sentiment classifier (such as `lvwerra/distilbert-imdb`).
Here's an overview of the notebooks and scripts in the [trl repository](https://github.com/huggingface/trl/tree/main/examples):
| File ... | trl/docs/source/sentiment_tuning.mdx/0 | {
"file_path": "trl/docs/source/sentiment_tuning.mdx",
"repo_id": "trl",
"token_count": 2400
} | 412 |
<jupyter_start><jupyter_text>Tune GPT2 to generate positive reviews> Optimise GPT2 to produce positive IMDB movie reviews using a BERT sentiment classifier as a reward function. Figure: Experiment setup to tune GPT2. The yellow arrows are outside the scope of this notebook, but the trained models are available through... | trl/examples/notebooks/gpt2-sentiment.ipynb/0 | {
"file_path": "trl/examples/notebooks/gpt2-sentiment.ipynb",
"repo_id": "trl",
"token_count": 3578
} | 413 |
# 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/toxicity/scripts/gpt-j-6b-toxicity.py/0 | {
"file_path": "trl/examples/research_projects/toxicity/scripts/gpt-j-6b-toxicity.py",
"repo_id": "trl",
"token_count": 3144
} | 414 |
# 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/test_dpo_slow.py/0 | {
"file_path": "trl/tests/slow/test_dpo_slow.py",
"repo_id": "trl",
"token_count": 3884
} | 415 |
# 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_reward_trainer.py/0 | {
"file_path": "trl/tests/test_reward_trainer.py",
"repo_id": "trl",
"token_count": 6460
} | 416 |
from dataclasses import dataclass
from typing import Literal, Optional, Tuple
from transformers import PreTrainedModel, PreTrainedTokenizer
# TODO: Add Abstract Base Class if more formats are added
@dataclass
class ChatMlSpecialTokens:
"""Dataclass for special tokens used in ChatML, including system, user, assis... | trl/trl/models/utils.py/0 | {
"file_path": "trl/trl/models/utils.py",
"repo_id": "trl",
"token_count": 1250
} | 417 |
# Builds CPU-only Docker image of PyTorch
# Uses multi-staged approach to reduce size
# Stage 1
FROM python:3.8-slim as compile-image
ARG DEBIAN_FRONTEND=noninteractive
RUN apt update
RUN apt-get install -y --no-install-recommends \
build-essential \
git \
gcc
# Setup virtual environment for Docker
ENV V... | accelerate/docker/accelerate-cpu/Dockerfile/0 | {
"file_path": "accelerate/docker/accelerate-cpu/Dockerfile",
"repo_id": "accelerate",
"token_count": 380
} | 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/performance.md/0 | {
"file_path": "accelerate/docs/source/concept_guides/performance.md",
"repo_id": "accelerate",
"token_count": 1460
} | 1 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | accelerate/docs/source/usage_guides/quantization.md/0 | {
"file_path": "accelerate/docs/source/usage_guides/quantization.md",
"repo_id": "accelerate",
"token_count": 1962
} | 2 |
# 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... | accelerate/examples/by_feature/multi_process_metrics.py/0 | {
"file_path": "accelerate/examples/by_feature/multi_process_metrics.py",
"repo_id": "accelerate",
"token_count": 3662
} | 3 |
# 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/manim_animations/big_model_inference/stage_2.py/0 | {
"file_path": "accelerate/manim_animations/big_model_inference/stage_2.py",
"repo_id": "accelerate",
"token_count": 2354
} | 4 |
#!/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/config_args.py/0 | {
"file_path": "accelerate/src/accelerate/commands/config/config_args.py",
"repo_id": "accelerate",
"token_count": 4067
} | 5 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/src/accelerate/data_loader.py/0 | {
"file_path": "accelerate/src/accelerate/data_loader.py",
"repo_id": "accelerate",
"token_count": 20363
} | 6 |
# 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... | accelerate/src/accelerate/test_utils/scripts/external_deps/test_performance.py/0 | {
"file_path": "accelerate/src/accelerate/test_utils/scripts/external_deps/test_performance.py",
"repo_id": "accelerate",
"token_count": 3914
} | 7 |
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/src/accelerate/utils/fsdp_utils.py/0 | {
"file_path": "accelerate/src/accelerate/utils/fsdp_utils.py",
"repo_id": "accelerate",
"token_count": 4830
} | 8 |
{
"fp16": {
"enabled": "auto",
"loss_scale": 0,
"loss_scale_window": 1000,
"initial_scale_power": 16,
"hysteresis": 2,
"min_loss_scale": 1
},
"bf16": {
"enabled": "auto"
},
"optimizer": {
"type": "AdamW",
"params": {
... | accelerate/tests/deepspeed/ds_config_zero3.json/0 | {
"file_path": "accelerate/tests/deepspeed/ds_config_zero3.json",
"repo_id": "accelerate",
"token_count": 825
} | 9 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/tests/test_kwargs_handlers.py/0 | {
"file_path": "accelerate/tests/test_kwargs_handlers.py",
"repo_id": "accelerate",
"token_count": 2166
} | 10 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/tests/test_utils.py/0 | {
"file_path": "accelerate/tests/test_utils.py",
"repo_id": "accelerate",
"token_count": 4392
} | 11 |
# Comparing Preference Alignment Algorithms
This directory contains various comparisons for three algorithms: DPO, IPO, and KTO. Each algorithm has been run in different hyperparameter configurations to study their performance. Two different models and datasets have been used to compare the performance of each algorith... | alignment-handbook/recipes/pref_align_scan/README.md/0 | {
"file_path": "alignment-handbook/recipes/pref_align_scan/README.md",
"repo_id": "alignment-handbook",
"token_count": 690
} | 12 |
# coding=utf-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 requir... | alignment-handbook/src/alignment/data.py/0 | {
"file_path": "alignment-handbook/src/alignment/data.py",
"repo_id": "alignment-handbook",
"token_count": 3473
} | 13 |
# Porting a custom kernel
| candle/candle-book/src/cuda/porting.md/0 | {
"file_path": "candle/candle-book/src/cuda/porting.md",
"repo_id": "candle",
"token_count": 7
} | 14 |
# Simplified
## How its works
This program implements a neural network to predict the winner of the second round of elections based on the results of the first round.
Basic moments:
1. A multilayer perceptron with two hidden layers is used. The first hidden layer has 4 neurons, the second has 2 neurons.
2. The inpu... | candle/candle-book/src/training/simplified.md/0 | {
"file_path": "candle/candle-book/src/training/simplified.md",
"repo_id": "candle",
"token_count": 530
} | 15 |
use crate::op::{BinaryOpT, CmpOp, ReduceOp, UnaryOpT};
use crate::{CpuStorage, DType, Layout, Result, Shape};
pub trait BackendStorage: Sized {
type Device: BackendDevice;
fn try_clone(&self, _: &Layout) -> Result<Self>;
fn dtype(&self) -> DType;
fn device(&self) -> &Self::Device;
// Maybe this... | candle/candle-core/src/backend.rs/0 | {
"file_path": "candle/candle-core/src/backend.rs",
"repo_id": "candle",
"token_count": 1732
} | 16 |
#![allow(dead_code)]
use crate::op::{BinaryOpT, CmpOp, ReduceOp, UnaryOpT};
use crate::{CpuStorage, DType, Error, Layout, Result, Shape};
#[derive(Debug, Clone)]
pub struct CudaDevice;
#[derive(Debug)]
pub struct CudaStorage;
macro_rules! fail {
() => {
unimplemented!("cuda support has not been enabled, ... | candle/candle-core/src/dummy_cuda_backend.rs/0 | {
"file_path": "candle/candle-core/src/dummy_cuda_backend.rs",
"repo_id": "candle",
"token_count": 2634
} | 17 |
#[cfg(feature = "metal")]
use crate::{backend::BackendStorage, DType};
use crate::{CpuStorage, Device, Result, Shape, Storage, Tensor};
use k_quants::*;
use std::borrow::Cow;
#[cfg(target_feature = "avx")]
pub mod avx;
pub mod ggml_file;
pub mod gguf_file;
pub mod k_quants;
#[cfg(feature = "metal")]
pub mod metal;
#[c... | candle/candle-core/src/quantized/mod.rs/0 | {
"file_path": "candle/candle-core/src/quantized/mod.rs",
"repo_id": "candle",
"token_count": 9347
} | 18 |
use anyhow::{Context, Result};
use candle_core::{test_device, test_utils, Device, Shape, Tensor, Var};
fn simple_grad(device: &Device) -> Result<()> {
let x = Var::new(&[3f32, 1., 4.], device)?;
let x = x.as_tensor();
let y = (((x * x)? + x * 5f64)? + 4f64)?;
let grads = y.backward()?;
let grad_x =... | candle/candle-core/tests/grad_tests.rs/0 | {
"file_path": "candle/candle-core/tests/grad_tests.rs",
"repo_id": "candle",
"token_count": 8536
} | 19 |
//! Helper functions for the tinystories dataset. This uses the pre-tokenized version as generated
//! by the tools from https://github.com/karpathy/llama2.c
use candle::{Device, Result, Tensor};
pub struct Dataset {
valid_tokens: Vec<memmap2::Mmap>,
train_tokens: Vec<memmap2::Mmap>,
}
fn mmap_file(p: &std::p... | candle/candle-datasets/src/nlp/tinystories.rs/0 | {
"file_path": "candle/candle-datasets/src/nlp/tinystories.rs",
"repo_id": "candle",
"token_count": 2097
} | 20 |
/*
* Adapted from
* https://github.com/NVIDIA/FasterTransformer/blob/release/v5.3_tag/src/fastertransformer/kernels/reduce_kernel_utils.cuh
* Copyright (c) 2023, The vLLM team.
* Copyright (c) 2020-2023, NVIDIA CORPORATION. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
... | candle/candle-examples/examples/custom-ops/kernels/reduction_utils.cuh/0 | {
"file_path": "candle/candle-examples/examples/custom-ops/kernels/reduction_utils.cuh",
"repo_id": "candle",
"token_count": 529
} | 21 |
# candle-mamba-minimal: minimal implementation of Mamba
This is based on [mamba-minimal](https://github.com/johnma2006/mamba-minimal).
## Running the example
```bash
$ cargo run --example mamba-minimal --release -- --prompt "Mamba is the"
Mamba is the most popular and best-selling game in the world. It has been down... | candle/candle-examples/examples/mamba-minimal/README.md/0 | {
"file_path": "candle/candle-examples/examples/mamba-minimal/README.md",
"repo_id": "candle",
"token_count": 185
} | 22 |
use candle::Result;
use candle_nn::{Conv1d, Conv1dConfig, VarBuilder};
// Applies weight norm for inference by recomputing the weight tensor. This
// does not apply to training.
// https://pytorch.org/docs/stable/generated/torch.nn.utils.weight_norm.html
pub fn conv1d_weight_norm(
in_c: usize,
out_c: usize,
... | candle/candle-examples/examples/musicgen/nn.rs/0 | {
"file_path": "candle/candle-examples/examples/musicgen/nn.rs",
"repo_id": "candle",
"token_count": 331
} | 23 |
use super::gym_env::{GymEnv, Step};
use candle::{DType, Device, Error, Module, Result, Tensor};
use candle_nn::{
linear, ops::log_softmax, ops::softmax, sequential::seq, Activation, AdamW, Optimizer,
ParamsAdamW, VarBuilder, VarMap,
};
use rand::{distributions::Distribution, rngs::ThreadRng, Rng};
fn new_model... | candle/candle-examples/examples/reinforcement-learning/policy_gradient.rs/0 | {
"file_path": "candle/candle-examples/examples/reinforcement-learning/policy_gradient.rs",
"repo_id": "candle",
"token_count": 2339
} | 24 |
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
use candle_transformers::models::stable_diffusion;
use anyhow::{Error as E, Result};
use candle::{DType, Device, IndexOp, Module, Tensor, D};
use clap::Parser;
use tokenizers::Tokenizer;
#[derive(Parser)]... | candle/candle-examples/examples/stable-diffusion/main.rs/0 | {
"file_path": "candle/candle-examples/examples/stable-diffusion/main.rs",
"repo_id": "candle",
"token_count": 9476
} | 25 |
use candle::{DType, IndexOp, Result, Tensor, D};
use candle_nn::{batch_norm, conv2d, conv2d_no_bias, Conv2d, Conv2dConfig, Module, VarBuilder};
#[derive(Clone, Copy, PartialEq, Debug)]
pub struct Multiples {
depth: f64,
width: f64,
ratio: f64,
}
impl Multiples {
pub fn n() -> Self {
Self {
... | candle/candle-examples/examples/yolo-v8/model.rs/0 | {
"file_path": "candle/candle-examples/examples/yolo-v8/model.rs",
"repo_id": "candle",
"token_count": 12422
} | 26 |
/******************************************************************************
* Copyright (c) 2023, Tri Dao.
******************************************************************************/
#pragma once
#include "cute/algorithm/copy.hpp"
#include "cutlass/cutlass.h"
#include "cutlass/layout/layout.h"
#include <cu... | candle/candle-flash-attn/kernels/kernel_traits_sm90.h/0 | {
"file_path": "candle/candle-flash-attn/kernels/kernel_traits_sm90.h",
"repo_id": "candle",
"token_count": 3269
} | 27 |
#include "cuda_utils.cuh"
#include<stdint.h>
// Naive implementation of conv1d.
template <typename T, typename A>
__device__ void conv1d(
const size_t src_numel,
const size_t l_out,
const size_t stride,
const size_t padding,
const size_t dilation,
const size_t *info,
const T *src,
const... | candle/candle-kernels/src/conv.cu/0 | {
"file_path": "candle/candle-kernels/src/conv.cu",
"repo_id": "candle",
"token_count": 9567
} | 28 |
//! Batch Normalization.
//!
//! This layer applies Batch Normalization over a mini-batch of inputs as described in [`Batch
//! Normalization`]. The input is expected to have at least three dimensions.
//!
//! Note that this implementation is for inference only, there is no possibility to track the
//! running stats.
/... | candle/candle-nn/src/batch_norm.rs/0 | {
"file_path": "candle/candle-nn/src/batch_norm.rs",
"repo_id": "candle",
"token_count": 5127
} | 29 |
use candle::{DType, Device, Result, Shape, Tensor, Var};
use std::collections::HashMap;
use std::sync::{Arc, Mutex};
/// A `VarMap` is a store that holds named variables. Variables can be retrieved from the stores
/// and new variables can be added by providing some initialization config in case they are
/// missing.
... | candle/candle-nn/src/var_map.rs/0 | {
"file_path": "candle/candle-nn/src/var_map.rs",
"repo_id": "candle",
"token_count": 1973
} | 30 |
from candle import Tensor, QTensor, DType
from typing import (
Dict,
Tuple,
Any,
Optional,
Union,
Iterator,
Set,
overload,
Mapping,
TypeVar,
List,
)
from collections import OrderedDict, namedtuple
TensorLike = Union[Tensor, QTensor]
T = TypeVar("T", bound="Module")
class _... | candle/candle-pyo3/py_src/candle/nn/module.py/0 | {
"file_path": "candle/candle-pyo3/py_src/candle/nn/module.py",
"repo_id": "candle",
"token_count": 12060
} | 31 |
import candle
print(f"mkl: {candle.utils.has_mkl()}")
print(f"accelerate: {candle.utils.has_accelerate()}")
print(f"num-threads: {candle.utils.get_num_threads()}")
print(f"cuda: {candle.utils.cuda_is_available()}")
t = candle.Tensor(42.0)
print(t)
print(t.shape, t.rank, t.device)
print(t + t)
t = can... | candle/candle-pyo3/test.py/0 | {
"file_path": "candle/candle-pyo3/test.py",
"repo_id": "candle",
"token_count": 340
} | 32 |
use super::with_tracing::{linear, Embedding, Linear};
use candle::{Module, Result, Tensor, D};
use candle_nn::{layer_norm, LayerNorm, VarBuilder};
use serde::Deserialize;
#[derive(Debug, Clone, Deserialize)]
pub struct Config {
pub vocab_size: usize,
pub hidden_size: usize,
pub encoder_hidden_size: usize,
... | candle/candle-transformers/src/models/blip_text.rs/0 | {
"file_path": "candle/candle-transformers/src/models/blip_text.rs",
"repo_id": "candle",
"token_count": 7148
} | 33 |
use crate::models::with_tracing::{linear_no_bias, Embedding, Linear};
/// MPT model used by replit-code-v1_5-3b
/// https://huggingface.co/replit/replit-code-v1_5-3b/blob/main/modeling_mpt.py
use candle::{DType, Device, IndexOp, Module, Result, Tensor, D};
use candle_nn::{layer_norm, LayerNorm, VarBuilder};
// https:/... | candle/candle-transformers/src/models/mpt.rs/0 | {
"file_path": "candle/candle-transformers/src/models/mpt.rs",
"repo_id": "candle",
"token_count": 5485
} | 34 |
pub use crate::models::with_tracing::Linear;
use candle::{Result, Tensor};
use candle_nn::{Module, VarBuilder};
pub mod image_encoder;
pub mod mask_decoder;
pub mod prompt_encoder;
pub mod sam;
pub mod tiny_vit;
pub mod transformer;
pub fn linear(vb: VarBuilder, in_dim: usize, out_dim: usize, bias: bool) -> Result<Li... | candle/candle-transformers/src/models/segment_anything/mod.rs/0 | {
"file_path": "candle/candle-transformers/src/models/segment_anything/mod.rs",
"repo_id": "candle",
"token_count": 1119
} | 35 |
use candle::{Device, Result, Tensor};
pub fn linspace(start: f64, stop: f64, steps: usize) -> Result<Tensor> {
if steps == 0 {
Tensor::from_vec(Vec::<f64>::new(), steps, &Device::Cpu)
} else if steps == 1 {
Tensor::from_vec(vec![start], steps, &Device::Cpu)
} else {
let delta = (sto... | candle/candle-transformers/src/models/stable_diffusion/utils.rs/0 | {
"file_path": "candle/candle-transformers/src/models/stable_diffusion/utils.rs",
"repo_id": "candle",
"token_count": 979
} | 36 |
pub mod attention_processor;
pub mod common;
pub mod ddpm;
pub mod diffnext;
pub mod paella_vq;
pub mod prior;
| candle/candle-transformers/src/models/wuerstchen/mod.rs/0 | {
"file_path": "candle/candle-transformers/src/models/wuerstchen/mod.rs",
"repo_id": "candle",
"token_count": 38
} | 37 |
use candle::{DType, Device, Tensor};
use candle_nn::VarBuilder;
use candle_transformers::models::bert::{BertModel, Config};
use candle_wasm_example_bert::console_log;
use tokenizers::{PaddingParams, Tokenizer};
use wasm_bindgen::prelude::*;
#[wasm_bindgen]
pub struct Model {
bert: BertModel,
tokenizer: Tokeniz... | candle/candle-wasm-examples/bert/src/bin/m.rs/0 | {
"file_path": "candle/candle-wasm-examples/bert/src/bin/m.rs",
"repo_id": "candle",
"token_count": 1534
} | 38 |
import init, { Model } from "./build/m.js";
async function fetchArrayBuffer(url) {
const cacheName = "llama2c-candle-cache";
const cache = await caches.open(cacheName);
const cachedResponse = await cache.match(url);
if (cachedResponse) {
const data = await cachedResponse.arrayBuffer();
return new Uint8... | candle/candle-wasm-examples/llama2-c/llama2cWorker.js/0 | {
"file_path": "candle/candle-wasm-examples/llama2-c/llama2cWorker.js",
"repo_id": "candle",
"token_count": 1223
} | 39 |
[package]
name = "candle-wasm-example-whisper"
version.workspace = true
edition.workspace = true
description.workspace = true
repository.workspace = true
keywords.workspace = true
categories.workspace = true
license.workspace = true
[dependencies]
candle = { workspace = true }
candle-nn = { workspace = true }
candle-t... | candle/candle-wasm-examples/whisper/Cargo.toml/0 | {
"file_path": "candle/candle-wasm-examples/whisper/Cargo.toml",
"repo_id": "candle",
"token_count": 428
} | 40 |
use candle::{
quantized::{self, k_quants, GgmlDType, GgmlType},
test_utils::to_vec2_round,
Device, Module, Result, Tensor,
};
use wasm_bindgen_test::*;
wasm_bindgen_test_configure!(run_in_browser);
#[wasm_bindgen_test]
fn quantized_matmul_neg() -> Result<()> {
let cpu = &Device::Cpu;
let (m, k, n)... | candle/candle-wasm-tests/tests/quantized_tests.rs/0 | {
"file_path": "candle/candle-wasm-tests/tests/quantized_tests.rs",
"repo_id": "candle",
"token_count": 3145
} | 41 |
---
title: chat-ui
emoji: 🔥
colorFrom: purple
colorTo: purple
sdk: docker
pinned: false
license: apache-2.0
base_path: /chat
app_port: 3000
failure_strategy: rollback
---
# Chat UI
A c... | chat-ui/README.md/0 | {
"file_path": "chat-ui/README.md",
"repo_id": "chat-ui",
"token_count": 7431
} | 42 |
<script lang="ts">
import { afterUpdate } from "svelte";
import CopyToClipBoardBtn from "./CopyToClipBoardBtn.svelte";
export let code = "";
export let lang = "";
$: highlightedCode = "";
afterUpdate(async () => {
const { default: hljs } = await import("highlight.js");
const language = hljs.getLanguage(lan... | chat-ui/src/lib/components/CodeBlock.svelte/0 | {
"file_path": "chat-ui/src/lib/components/CodeBlock.svelte",
"repo_id": "chat-ui",
"token_count": 345
} | 43 |
<script lang="ts">
import Modal from "./Modal.svelte";
import CarbonClose from "~icons/carbon/close";
import CarbonBlockchain from "~icons/carbon/blockchain";
export let preprompt: string;
let isOpen = false;
</script>
<button
type="button"
class="mx-auto flex items-center gap-1.5 rounded-full border border-g... | chat-ui/src/lib/components/SystemPromptModal.svelte/0 | {
"file_path": "chat-ui/src/lib/components/SystemPromptModal.svelte",
"repo_id": "chat-ui",
"token_count": 508
} | 44 |
<script lang="ts">
export let classNames = "";
</script>
<div class={"inline-flex h-8 flex-none items-center gap-1 " + classNames}>
<div
class="h-1 w-1 flex-none animate-bounce rounded-full bg-gray-500 dark:bg-gray-400"
style="animation-delay: 0.25s;"
/>
<div
class="h-1 w-1 flex-none animate-bounce rounded-f... | chat-ui/src/lib/components/icons/IconLoading.svelte/0 | {
"file_path": "chat-ui/src/lib/components/icons/IconLoading.svelte",
"repo_id": "chat-ui",
"token_count": 223
} | 45 |
import { z } from "zod";
import { openAICompletionToTextGenerationStream } from "./openAICompletionToTextGenerationStream";
import { openAIChatToTextGenerationStream } from "./openAIChatToTextGenerationStream";
import { buildPrompt } from "$lib/buildPrompt";
import { OPENAI_API_KEY } from "$env/static/private";
import ... | chat-ui/src/lib/server/endpoints/openai/endpointOai.ts/0 | {
"file_path": "chat-ui/src/lib/server/endpoints/openai/endpointOai.ts",
"repo_id": "chat-ui",
"token_count": 1447
} | 46 |
import { writable } from "svelte/store";
export const ERROR_MESSAGES = {
default: "Oops, something went wrong.",
authOnly: "You have to be logged in.",
rateLimited: "You are sending too many messages. Try again later.",
};
export const error = writable<string | null>(null);
| chat-ui/src/lib/stores/errors.ts/0 | {
"file_path": "chat-ui/src/lib/stores/errors.ts",
"repo_id": "chat-ui",
"token_count": 85
} | 47 |
import type { ObjectId } from "bson";
import type { Timestamps } from "./Timestamps";
import type { User } from "./User";
export interface Session extends Timestamps {
_id: ObjectId;
sessionId: string;
userId: User["_id"];
userAgent?: string;
ip?: string;
expiresAt: Date;
}
| chat-ui/src/lib/types/Session.ts/0 | {
"file_path": "chat-ui/src/lib/types/Session.ts",
"repo_id": "chat-ui",
"token_count": 97
} | 48 |
import { PUBLIC_APP_ASSETS } from "$env/static/public";
export const isHuggingChat = PUBLIC_APP_ASSETS === "huggingchat";
| chat-ui/src/lib/utils/isHuggingChat.ts/0 | {
"file_path": "chat-ui/src/lib/utils/isHuggingChat.ts",
"repo_id": "chat-ui",
"token_count": 40
} | 49 |
import { collections } from "$lib/server/database";
import { authCondition } from "$lib/server/auth";
import type { Conversation } from "$lib/types/Conversation";
export async function GET({ locals }) {
if (locals.user?._id || locals.sessionId) {
const convs = await collections.conversations
.find({
...authC... | chat-ui/src/routes/api/conversations/+server.ts/0 | {
"file_path": "chat-ui/src/routes/api/conversations/+server.ts",
"repo_id": "chat-ui",
"token_count": 298
} | 50 |
import { authCondition } from "$lib/server/auth";
import { collections } from "$lib/server/database";
import type { SharedConversation } from "$lib/types/SharedConversation";
import { getShareUrl } from "$lib/utils/getShareUrl";
import { hashConv } from "$lib/utils/hashConv";
import { error } from "@sveltejs/kit";
impo... | chat-ui/src/routes/conversation/[id]/share/+server.ts/0 | {
"file_path": "chat-ui/src/routes/conversation/[id]/share/+server.ts",
"repo_id": "chat-ui",
"token_count": 748
} | 51 |
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