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/** * A base class for creating callable objects. * See [here](https://stackoverflow.com/q/76073890) for more information. * * @type {new () => {(...args: any[]): any, _call(...args: any[]): any}} */ export const Callable = /** @type {any} */ (class { /** * Creates a new instance of the Callable class. ...
transformers.js/src/utils/generic.js/0
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import { AutoImageProcessor, DonutFeatureExtractor } from "../../../src/transformers.js"; import { load_cached_image } from "../../asset_cache.js"; import { MAX_PROCESSOR_LOAD_TIME, MAX_TEST_EXECUTION_TIME } from "../../init.js"; export default () => { // DonutFeatureExtractor // - tests thumbnail resizing (do_t...
transformers.js/tests/models/donut/test_image_processing_donut.js/0
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import { MarianTokenizer, MarianMTModel } from "../../../src/transformers.js"; import { MAX_MODEL_LOAD_TIME, MAX_TEST_EXECUTION_TIME, MAX_MODEL_DISPOSE_TIME, DEFAULT_MODEL_OPTIONS } from "../../init.js"; export default () => { describe("MarianMTModel", () => { const model_id = "onnx-community/tiny-random-Marian...
transformers.js/tests/models/marian/test_modeling_marian.js/0
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import { PaliGemmaProcessor, PaliGemmaForConditionalGeneration, RawImage } from "../../../src/transformers.js"; import { MAX_MODEL_LOAD_TIME, MAX_TEST_EXECUTION_TIME, MAX_MODEL_DISPOSE_TIME, DEFAULT_MODEL_OPTIONS } from "../../init.js"; export default () => { const text = "<image>What is on the flower?"; // Empt...
transformers.js/tests/models/paligemma/test_modeling_paligemma.js/0
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import { T5Tokenizer, T5Model, T5ForConditionalGeneration } from "../../../src/transformers.js"; import { MAX_MODEL_LOAD_TIME, MAX_TEST_EXECUTION_TIME, MAX_MODEL_DISPOSE_TIME, DEFAULT_MODEL_OPTIONS } from "../../init.js"; export default () => { describe("T5Model", () => { const model_id = "hf-internal-testing/t...
transformers.js/tests/models/t5/test_modeling_t5.js/0
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import { pipeline, AudioClassificationPipeline } 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 = "audio-classification"; export default () => { describe("Audio Classification", () => { ...
transformers.js/tests/pipelines/test_pipelines_audio_classification.js/0
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import { pipeline, TextGenerationPipeline } 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 = "text-generation"; export default () => { describe("Text Generation", () => { const model_i...
transformers.js/tests/pipelines/test_pipelines_text_generation.js/0
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FROM python:3.9-slim ENV PYTHONDONTWRITEBYTECODE=1 USER root RUN apt-get update && apt-get install -y --no-install-recommends libsndfile1-dev espeak-ng time git g++ cmake pkg-config openssh-client git ENV UV_PYTHON=/usr/local/bin/python RUN pip --no-cache-dir install uv && uv venv && uv pip install --no-cache-dir -U p...
transformers/docker/examples-torch.dockerfile/0
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# https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-23-11.html#rel-23-11 FROM nvcr.io/nvidia/pytorch:23.11-py3 LABEL maintainer="Hugging Face" ARG DEBIAN_FRONTEND=noninteractive ARG PYTORCH='2.2.0' # Example: `cu102`, `cu113`, etc. ARG CUDA='cu121' RUN apt -y update RUN apt install -y libaio-...
transformers/docker/transformers-pytorch-deepspeed-latest-gpu/Dockerfile/0
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# تشريح عملية تدريب النموذج لفهم تقنيات تحسين الأداء التي يمكن تطبيقها لتحسين كفاءة استخدام الذاكرة وسرعة تدريب النموذج، من المفيد التعرف على كيفية استخدام وحدة معالجة الرسوميات (GPU) أثناء التدريب، وكيف تختلف كثافة العمليات الحسابية باختلاف العملية التي يتم تنفيذها. لنبدأ باستكشاف مثال توضيحي على استخدام وحدة GPU وت...
transformers/docs/source/ar/model_memory_anatomy.md/0
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# التصدير إلى ONNX غالباً ما يتطلب نشر نماذج 🤗 Transformers في بيئات الإنتاج أو يمكن أن يستفيد من تصدير النماذج إلى تنسيق تسلسلي يُمكن تحميله وتنفيذه على أجهزة وبرامج تشغيل مُتخصصة. 🤗 Optimum هو امتداد لـ Transformers يمكّن من تصدير النماذج من PyTorch أو TensorFlow إلى تنسيقات مُتسلسلة مثل ONNX و TFLite من خلال وحد...
transformers/docs/source/ar/serialization.md/0
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<!--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...
transformers/docs/source/de/preprocessing.md/0
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transformers/docs/source/en/bertology.md/0
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transformers/docs/source/en/hpo_train.md/0
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transformers/docs/source/en/main_classes/agent.md/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 agreed...
transformers/docs/source/en/main_classes/processors.md/0
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transformers/docs/source/en/model_doc/bartpho.md/0
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transformers/docs/source/en/model_doc/bridgetower.md/0
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transformers/docs/source/en/model_doc/deit.md/0
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transformers/docs/source/en/model_doc/efficientformer.md/0
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transformers/docs/source/en/model_doc/flava.md/0
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transformers/docs/source/en/model_doc/gpt_neox.md/0
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transformers/docs/source/en/model_doc/idefics2.md/0
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transformers/docs/source/en/model_doc/levit.md/0
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transformers/docs/source/en/model_doc/mluke.md/0
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transformers/docs/source/en/model_doc/mvp.md/0
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transformers/docs/source/en/model_doc/opt.md/0
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<!--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...
transformers/docs/source/en/model_doc/plbart.md/0
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transformers/docs/source/en/model_doc/sew-d.md/0
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transformers/docs/source/en/model_doc/vit_hybrid.md/0
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transformers/docs/source/en/model_doc/xlm-prophetnet.md/0
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transformers/docs/source/en/quantization/gptq.md/0
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transformers/docs/source/en/tasks/idefics.md/0
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transformers/docs/source/en/tasks/semantic_segmentation.md/0
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transformers/docs/source/en/tokenizer_summary.md/0
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transformers/docs/source/es/custom_models.md/0
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transformers/docs/source/es/preprocessing.md/0
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transformers/docs/source/es/trainer.md/0
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transformers/docs/source/hi/tflite.md/0
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transformers/docs/source/it/model_sharing.md/0
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transformers/docs/source/it/serialization.md/0
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transformers/docs/source/ja/glossary.md/0
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transformers/docs/source/ja/main_classes/trainer.md/0
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transformers/docs/source/ja/model_doc/big_bird.md/0
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transformers/docs/source/ja/model_doc/clap.md/0
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transformers/docs/source/ja/model_doc/deberta.md/0
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transformers/docs/source/ja/perf_infer_cpu.md/0
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<!--⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be rendered properly in your Markdown viewer. --> # Webサーバー用のパイプラインの使用 <Tip> 推論エンジンの作成は複雑なトピックであり、"最適な"ソリューションはおそらく問題の領域に依存するでしょう。CPUまたはGPUを使用していますか?最低のレイテンシ、最高のスループット、多くのモデルのサポート、または特定のモデルの高度な最適化を望...
transformers/docs/source/ja/pipeline_webserver.md/0
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transformers/docs/source/ja/tasks/masked_language_modeling.md/0
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transformers/docs/source/ja/tasks_explained.md/0
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transformers/docs/source/ko/bertology.md/0
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transformers/docs/source/ko/model_doc/barthez.md/0
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transformers/docs/source/ko/model_doc/esm.md/0
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<!--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...
transformers/docs/source/ko/model_doc/patchtst.md/0
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<!--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...
transformers/docs/source/ko/preprocessing.md/0
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<!--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...
transformers/docs/source/ko/tasks/image_classification.md/0
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<!--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...
transformers/docs/source/ko/tasks/translation.md/0
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<!--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...
transformers/docs/source/pt/tasks/token_classification.md/0
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<!--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...
transformers/docs/source/zh/chat_templating.md/0
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<!--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 to...
transformers/docs/source/zh/perf_train_special.md/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/README.md/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/flax/vision/README.md/0
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#!/usr/bin/env bash if ! [ -f ./dev.txt ]; then echo "Download dev dataset...." curl -L -o ./dev.txt 'https://github.com/UniversalDependencies/UD_English-EWT/raw/master/en_ewt-ud-dev.conllu' fi if ! [ -f ./test.txt ]; then echo "Download test dataset...." curl -L -o ./test.txt 'https://github.com/UniversalDepe...
transformers/examples/legacy/pytorch-lightning/run_pos.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/finetune_trainer.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/save_randomly_initialized_model.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/examples/legacy/seq2seq/train_distilbart_cnn.sh/0
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import torch from transformers.models.llama.modeling_llama import LlamaModel def rotate_half(x): """Rotates half the hidden dims of the input.""" x1 = x[..., : x.shape[-1] // 4] x2 = x[..., x.shape[-1] // 4 :] return torch.cat((-x2, x1), dim=-1) # example where we need some deps and some functions ...
transformers/examples/modular-transformers/modular_dummy.py/0
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<!--- 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 ...
transformers/examples/pytorch/semantic-segmentation/README.md/0
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# coding=utf-8 # Copyright 2018 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/examples/pytorch/test_accelerate_examples.py/0
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# Examples In this folder we showcase some examples to use code models for downstream tasks. ## Complexity prediction In this task we want to predict the complexity of Java programs in [CodeComplex](https://huggingface.co/datasets/codeparrot/codecomplex) dataset. Using Hugging Face `trainer`, we finetuned [multilingua...
transformers/examples/research_projects/codeparrot/examples/README.md/0
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import gym import numpy as np import torch from mujoco_py import GlfwContext from transformers import DecisionTransformerModel GlfwContext(offscreen=True) # Create a window to init GLFW. def get_action(model, states, actions, rewards, returns_to_go, timesteps): # we don't care about the past rewards in this m...
transformers/examples/research_projects/decision_transformer/run_decision_transformer.py/0
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command: - python3 - train.py method: random parameters: lr: values: [4e-5, 3e-5] warmup_steps: values: [20000, 15000, 10000, 5000] weight_decay: distribution: normal mu: 1e-2 sigma: 2e-3 metric: ...
transformers/examples/research_projects/jax-projects/big_bird/sweep_flax.yaml/0
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#!/usr/bin/env python # 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-...
transformers/examples/research_projects/layoutlmv3/run_funsd_cord.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 ...
transformers/examples/research_projects/mlm_wwm/README.md/0
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# coding=utf-8 # Copyright 2020-present, the HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by a...
transformers/examples/research_projects/movement-pruning/emmental/modules/masked_nn.py/0
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import argparse import logging import os import sys import tempfile from pathlib import Path import lightning_base import pytest import pytorch_lightning as pl import torch from convert_pl_checkpoint_to_hf import convert_pl_to_hf from distillation import distill_main from finetune import SummarizationModule, main from...
transformers/examples/research_projects/seq2seq-distillation/_test_seq2seq_examples.py/0
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# coding=utf-8 # Copyright 2022 The Microsoft, The Google 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/lic...
transformers/examples/research_projects/tapex/wikisql_utils.py/0
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from datetime import datetime import matplotlib.pyplot as plt import torch def freeze_module(module): for param in module.parameters(): param.requires_grad = False def get_device(): device = "cuda" if torch.cuda.is_available() else "cpu" if torch.backends.mps.is_available() and torch.backends.m...
transformers/examples/research_projects/vqgan-clip/utils.py/0
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#!/usr/bin/env python3 import logging import sys from dataclasses import dataclass, field from typing import Any, Dict, List, Optional, Union import librosa import torch from datasets import DatasetDict, load_dataset from packaging import version from torch import nn from transformers import ( HfArgumentParser, ...
transformers/examples/research_projects/wav2vec2/run_pretrain.py/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/tensorflow/image-classification/run_image_classification.py/0
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[tool.coverage.run] source = ["transformers"] omit = [ "*/convert_*", "*/__main__.py" ] [tool.coverage.report] exclude_lines = [ "pragma: no cover", "raise", "except", "register_parameter" ] [tool.ruff] line-length = 119 [tool.ruff.lint] # Never enforce `E501` (line length violations). ignore...
transformers/pyproject.toml/0
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# this is the process of uploading the updated models to s3. As I can't upload them directly to the correct orgs, this script shows how this is done # 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 comp...
transformers/scripts/fsmt/s3-move.sh/0
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#!/usr/bin/env python # coding=utf-8 # Copyright 2023 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/L...
transformers/src/transformers/agents/image_question_answering.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/commands/convert.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/data/data_collator.py/0
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# coding=utf-8 # Copyright 2021 The HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
transformers/src/transformers/feature_extraction_sequence_utils.py/0
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# coding=utf-8 # Copyright 2024 The HuggingFace Inc. team and Google DeepMind. # # Licensed under the Apache License, Version 2.0 (the "License"); # you 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 re...
transformers/src/transformers/generation/watermarking.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/fbgemm_fp8.py/0
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// File from https://github.com/mlpen/YOSO/blob/main/encoders/backbones/efficient_attentions/yoso/yoso_v1/cuda/fast_lsh_cumulation_cuda.cu #include "fast_lsh_cumulation_cuda.h" #include "common_cuda_device.h" #include "common_cuda.h" #include "common.h" #include <stdio.h> //////////////////////////////////////////////...
transformers/src/transformers/kernels/yoso/fast_lsh_cumulation_cuda.cu/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/modeling_rope_utils.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/align/convert_align_tf_to_hf.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/audio_spectrogram_transformer/convert_audio_spectrogram_transformer_original_to_pytorch.py/0
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# coding=utf-8 # Copyright 2018 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_japanese/tokenization_bert_japanese.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/biogpt/convert_biogpt_original_pytorch_checkpoint_to_pytorch.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/blip/processing_blip.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 a...
transformers/src/transformers/models/bridgetower/processing_bridgetower.py/0
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# coding=utf-8 # Copyright Google 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/canine/configuration_canine.py/0
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# coding=utf-8 # Copyright 2022 The OFA-Sys 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/...
transformers/src/transformers/models/chinese_clip/processing_chinese_clip.py/0
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# coding=utf-8 # Copyright 2024 Cohere Inc. 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/cohere2/modular_cohere2.py/0
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# coding=utf-8 # Copyright 2023 Meta Platforms Inc. and The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/...
transformers/src/transformers/models/convnextv2/modeling_tf_convnextv2.py/0
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