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import { pipeline, SummarizationPipeline } from "../../src/transformers.js"; import { MAX_MODEL_LOAD_TIME, MAX_TEST_EXECUTION_TIME, MAX_MODEL_DISPOSE_TIME, DEFAULT_MODEL_OPTIONS } from "../init.js"; const PIPELINE_ID = "summarization"; export default () => { describe("Summarization", () => { const model_id = "...
transformers.js/tests/pipelines/test_pipelines_summarization.js/0
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import { AutoModel, PreTrainedModel } from "../../src/models.js"; import { MAX_TEST_EXECUTION_TIME, DEFAULT_MODEL_OPTIONS } from "../init.js"; // TODO: Set cache folder to a temp directory describe("Hub", () => { describe("Loading models", () => { it( "should load a model from the local cache", asy...
transformers.js/tests/utils/hub.test.js/0
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# Security Policy ## Hugging Face Hub, remote artefacts, and remote code Transformers is open-source software that is tightly coupled to the Hugging Face Hub. While you have the ability to use it offline with pre-downloaded model weights, it provides a very simple way to download, use, and manage models locally. Whe...
transformers/SECURITY.md/0
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FROM python:3.9-slim ENV PYTHONDONTWRITEBYTECODE=1 USER root ARG REF=main RUN apt-get update && apt-get install -y time git g++ pkg-config make git-lfs ENV UV_PYTHON=/usr/local/bin/python RUN pip install uv && uv venv && uv pip install --no-cache-dir -U pip setuptools GitPython RUN pip install --no-cache-dir --upgrade ...
transformers/docker/consistency.dockerfile/0
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ARG BASE_DOCKER_IMAGE FROM $BASE_DOCKER_IMAGE LABEL maintainer="Hugging Face" ARG DEBIAN_FRONTEND=noninteractive # Use login shell to read variables from `~/.profile` (to pass dynamic created variables between RUN commands) SHELL ["sh", "-lc"] RUN apt update RUN apt install -y git libsndfile1-dev tesseract-ocr espea...
transformers/docker/transformers-past-gpu/Dockerfile/0
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- sections: - local: index title: 🤗 المحولات - local: quicktour title: جولة سريعة - local: installation title: التثبيت title: البدء - sections: - local: pipeline_tutorial title: تشغيل الاستنتاج باستخدام خطوط الأنابيب - local: autoclass_tutorial title: كتابة تعليمات برمجية متكيفه باستخدا...
transformers/docs/source/ar/_toctree.yml/0
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# التثبيت (Installation) قم بتثبيت مكتبة 🤗 Transformers المناسبة لمكتبة التعلم العميق التي تستخدمها، وقم بإعداد ذاكرة التخزين المؤقت الخاصة بك، وقم بإعداد 🤗 Transformers للعمل دون اتصال بالإنترنت (اختياري). تم اختبار 🤗 Transformers على Python 3.6 والإصدارات الأحدث، وPyTorch 1.1.0 والإصدارات الأحدث، وTensorFlow 2....
transformers/docs/source/ar/installation.md/0
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# جولة سريعة [[open-in-colab]] ابدأ رحلتك مع مكتبة 🤗 Transformers! سواء كنت مطورًا أو مستخدمًا عاديًا، ستساعدك هذه الجولة السريعة على البدء وستُظهر لك كيفية استخدام [`pipeline`] للاستنتاج، وتحميل نموذج مُدرب مسبقًا ومعالج مُسبق مع [AutoClass](./model_doc/auto)، وتدريب نموذج بسرعة باستخدام PyTorch أو TensorFlow. إذا ...
transformers/docs/source/ar/quicktour.md/0
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transformers/docs/source/de/peft.md/0
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transformers/docs/source/en/agents_advanced.md/0
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transformers/docs/source/en/gguf.md/0
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transformers/docs/source/en/llm_optims.md/0
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transformers/docs/source/en/model_doc/bark.md/0
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transformers/docs/source/en/model_doc/blip.md/0
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# Cohere ## Overview The Cohere Command-R model was proposed in the blogpost [Command-R: Retrieval Augmented Generation at Production Scale](https://txt.cohere.com/command-r/) by the Cohere Team. The abstract from the paper is the following: *Command-R is a scalable generative model targeting RAG and Tool Use to en...
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transformers/docs/source/en/model_doc/deberta.md/0
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transformers/docs/source/en/model_doc/flan-t5.md/0
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transformers/docs/source/en/model_doc/gpt2.md/0
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transformers/docs/source/en/model_doc/hubert.md/0
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transformers/docs/source/en/model_doc/m2m_100.md/0
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<!--Copyright 2023 Mistral AI and 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/docs/source/en/model_doc/mistral.md/0
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transformers/docs/source/en/model_doc/mt5.md/0
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transformers/docs/source/en/model_doc/phobert.md/0
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transformers/docs/source/en/model_doc/realm.md/0
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transformers/docs/source/en/model_doc/trocr.md/0
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transformers/docs/source/en/model_doc/vision-text-dual-encoder.md/0
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transformers/docs/source/en/model_doc/whisper.md/0
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transformers/docs/source/en/perf_train_gpu_many.md/0
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transformers/docs/source/en/tasks/asr.md/0
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transformers/docs/source/en/tasks/object_detection.md/0
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transformers/docs/source/en/tf_xla.md/0
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transformers/docs/source/es/pipeline_tutorial.md/0
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transformers/docs/source/it/preprocessing.md/0
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transformers/docs/source/ja/llm_tutorial.md/0
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transformers/docs/source/ja/main_classes/quantization.md/0
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transformers/docs/source/ja/model_doc/camembert.md/0
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transformers/docs/source/ja/model_doc/cvt.md/0
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transformers/docs/source/ja/perplexity.md/0
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transformers/docs/source/ja/tasks/image_to_image.md/0
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transformers/docs/source/ja/tasks/visual_question_answering.md/0
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transformers/docs/source/ko/add_new_pipeline.md/0
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transformers/docs/source/ko/gguf.md/0
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transformers/docs/source/ko/llm_tutorial_optimization.md/0
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transformers/docs/source/ko/model_doc/auto.md/0
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transformers/docs/source/ko/model_doc/deberta-v2.md/0
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transformers/docs/source/ko/model_doc/openai-gpt.md/0
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transformers/docs/source/ko/transformers_agents.md/0
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transformers/docs/source/pt/run_scripts.md/0
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transformers/docs/source/zh/autoclass_tutorial.md/0
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transformers/docs/source/zh/perf_infer_gpu_multi.md/0
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transformers/docs/source/zh/tokenizer_summary.md/0
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#!/usr/bin/env python # 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-...
transformers/examples/flax/language-modeling/run_t5_mlm_flax.py/0
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<!--- Copyright 2021 The Google Flax Team Authors and 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 r...
transformers/examples/flax/token-classification/README.md/0
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# Install example requirements pip install -r ../requirements.txt # Download glue data python3 ../../utils/download_glue_data.py export TASK=mrpc export DATA_DIR=./glue_data/MRPC/ export MAX_LENGTH=128 export LEARNING_RATE=2e-5 export BERT_MODEL=bert-base-cased export BATCH_SIZE=32 export NUM_EPOCHS=3 export SEED=2 e...
transformers/examples/legacy/pytorch-lightning/run_glue.sh/0
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#!/usr/bin/env python # 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...
transformers/examples/legacy/seq2seq/download_wmt.py/0
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#!/usr/bin/env python # 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...
transformers/examples/legacy/seq2seq/run_eval.py/0
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<!--- Copyright 2020 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or a...
transformers/examples/pytorch/README.md/0
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#!/usr/bin/env python # 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/LI...
transformers/examples/pytorch/image-pretraining/run_mim.py/0
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# coding=utf-8 # Copyright 2020 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless require...
transformers/examples/pytorch/question-answering/trainer_qa.py/0
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#!/usr/bin/env python3 # Copyright 2018 CMU and The HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless requir...
transformers/examples/research_projects/bertology/run_bertology.py/0
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from unittest import TestCase from datasets import Dataset from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters def get_dataset(): data_dict = { "repo_name": ["test_repo1", "test_repo2", "test_repo3"], "path": ["test_1.py", "test_2.py", "unit_test.py"], "content"...
transformers/examples/research_projects/codeparrot/scripts/tests/test_deduplicate.py/0
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# coding=utf-8 # Copyright 2019-present, the HuggingFace Inc. team and Facebook, 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 # # Un...
transformers/examples/research_projects/distillation/grouped_batch_sampler.py/0
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import jax import jax.numpy as jnp from bigbird_flax import FlaxBigBirdForNaturalQuestions from datasets import load_from_disk from transformers import BigBirdTokenizerFast CATEGORY_MAPPING = {0: "null", 1: "short", 2: "long", 3: "yes", 4: "no"} PUNCTUATION_SET_TO_EXCLUDE = set("".join(["‘", "’", "´", "`", ".", ",",...
transformers/examples/research_projects/jax-projects/big_bird/evaluate.py/0
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#!/usr/bin/env python3 import logging import sys import time from dataclasses import field from pathlib import Path from typing import Dict, List, Optional, Union import flax import jax import jax.numpy as jnp import librosa import numpy as np import optax from datasets import DatasetDict, load_dataset from flax impor...
transformers/examples/research_projects/jax-projects/wav2vec2/run_wav2vec2_pretrain_flax.py/0
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# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team. # Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a cop...
transformers/examples/research_projects/movement-pruning/emmental/modeling_bert_masked.py/0
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# coding=utf-8 # Copyright 2020 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless require...
transformers/examples/research_projects/performer/run_mlm_performer.py/0
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## Sequence to Sequence Training and Evaluation This directory contains examples for finetuning and evaluating transformers on summarization and translation tasks. Author: Sam Shleifer (https://github.com/sshleifer) ### Supported Architectures - `BartForConditionalGeneration` (and anything that inherits from it) - ...
transformers/examples/research_projects/seq2seq-distillation/README.md/0
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#!/usr/bin/env python # coding=utf-8 # Copyright 2022 The Microsoft and The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apac...
transformers/examples/research_projects/tapex/run_tabfact_with_tapex.py/0
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import numpy as np import PIL import torch import torchvision.transforms as T import torchvision.transforms.functional as TF from PIL import Image def preprocess(img, target_image_size=256): s = min(img.size) if s < target_image_size: raise ValueError(f"min dim for image {s} < {target_image_size}") ...
transformers/examples/research_projects/vqgan-clip/img_processing.py/0
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#!/usr/bin/env python # 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-...
transformers/examples/tensorflow/contrastive-image-text/run_clip.py/0
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<!--- Copyright 2021 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or ...
transformers/examples/tensorflow/question-answering/README.md/0
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#!/usr/bin/env python # 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...
transformers/scripts/fsmt/gen-card-allenai-wmt16.py/0
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#!/usr/bin/env python # 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/L...
transformers/src/transformers/agents/default_tools.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
transformers/src/transformers/commands/add_fast_image_processor.py/0
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# coding=utf-8 # Copyright 2018 The HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
transformers/src/transformers/convert_slow_tokenizers_checkpoints_to_fast.py/0
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# coding=utf-8 # Copyright 2022 The HuggingFace Inc. team # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable ...
transformers/src/transformers/generation/tf_logits_process.py/0
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# Copyright 2020 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
transformers/src/transformers/integrations/deepspeed.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
transformers/src/transformers/integrations/tpu.py/0
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#include "common.h" template<typename T> __device__ int set_insert(T *set, int set_size, T value) { int slot = value % set_size; int start_slot = slot; while (true) { T prev = atomicCAS(&set[slot], EMPTY_VALUE, value); if (prev == EMPTY_VALUE || prev == value) { return slot; } slot = (slot...
transformers/src/transformers/kernels/yoso/common_cuda_device.h/0
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# coding=utf-8 # Copyright 2021 The Google Flax Team Authors and The HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 ...
transformers/src/transformers/modeling_flax_utils.py/0
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# coding=utf-8 # Copyright 2018 Google AI, Google Brain and the HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # U...
transformers/src/transformers/models/albert/tokenization_albert_fast.py/0
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# 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨 # This file was automatically generated from src/transformers/models/aria/modular_aria.py. # Do NOT edit this file manually as any edits will be overwritten by the generation of # ...
transformers/src/transformers/models/aria/processing_aria.py/0
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# coding=utf-8 # Copyright 2020 The HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
transformers/src/transformers/models/bart/convert_bart_original_pytorch_checkpoint_to_pytorch.py/0
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# coding=utf-8 # Copyright 2020 The Google AI Language Team Authors and The HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICEN...
transformers/src/transformers/models/bert_generation/modeling_bert_generation.py/0
{ "file_path": "transformers/src/transformers/models/bert_generation/modeling_bert_generation.py", "repo_id": "transformers", "token_count": 20086 }
# coding=utf-8 # Copyright 2021 Google Research 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-...
transformers/src/transformers/models/bigbird_pegasus/modeling_bigbird_pegasus.py/0
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# coding=utf-8 # Copyright 2022 The Salesforce Team Authors and The HuggingFace Team. All rights reserved. # # Licensed under the BSD-3-clause license (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://opensource.org/licenses/BSD...
transformers/src/transformers/models/blip/modeling_blip_text.py/0
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# 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 ...
transformers/src/transformers/models/bridgetower/configuration_bridgetower.py/0
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# coding=utf-8 # Copyright 2021 The OpenAI Team Authors and 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/L...
transformers/src/transformers/models/clip/modeling_clip.py/0
{ "file_path": "transformers/src/transformers/models/clip/modeling_clip.py", "repo_id": "transformers", "token_count": 31193 }
# coding=utf-8 # Copyright 2023 The HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
transformers/src/transformers/models/clvp/number_normalizer.py/0
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# 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨 # This file was automatically generated from src/transformers/models/deformable_detr/modular_deformable_detr.py. # Do NOT edit this file manually as any edits will be overwritten by ...
transformers/src/transformers/models/deformable_detr/image_processing_deformable_detr_fast.py/0
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# coding=utf-8 # Copyright 2023, HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or a...
transformers/src/transformers/models/deprecated/gptsan_japanese/configuration_gptsan_japanese.py/0
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# coding=utf-8 # Copyright 2022 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless r...
transformers/src/transformers/models/deprecated/mctct/feature_extraction_mctct.py/0
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# Copyright 2023 EleutherAI and The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless r...
transformers/src/transformers/models/deprecated/open_llama/__init__.py/0
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# coding=utf-8 # Copyright 2018 Google AI, Google Brain and Carnegie Mellon University Authors and the HuggingFace Inc. team. # Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the Lice...
transformers/src/transformers/models/deprecated/transfo_xl/modeling_tf_transfo_xl_utilities.py/0
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# coding=utf-8 # Copyright 2022 The HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
transformers/src/transformers/models/deprecated/vit_hybrid/convert_vit_hybrid_timm_to_pytorch.py/0
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# coding=utf-8 # Copyright 2023 Meta 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-2.0 ...
transformers/src/transformers/models/dinov2/modeling_flax_dinov2.py/0
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# coding=utf-8 # Copyright 2023 The HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
transformers/src/transformers/models/dpt/convert_dpt_beit_to_hf.py/0
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# Copyright 2021 AlQuraishi Laboratory # Copyright 2021 DeepMind Technologies Limited # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # U...
transformers/src/transformers/models/esm/openfold_utils/data_transforms.py/0
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# coding=utf-8 # Copyright 2023 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless r...
transformers/src/transformers/models/fastspeech2_conformer/configuration_fastspeech2_conformer.py/0
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# coding=utf-8 # Copyright 2022 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless r...
transformers/src/transformers/models/flava/image_processing_flava.py/0
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