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/** * @file Pipelines provide a high-level, easy to use, API for running machine learning models. * * **Example:** Instantiate pipeline using the `pipeline` function. * ```javascript * import { pipeline } from '@huggingface/transformers'; * * const classifier = await pipeline('sentiment-analysis'); * const ou...
transformers.js/src/pipelines.js/0
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import { AutoConfig, env } from "../src/transformers.js"; import { getFile } from "../src/utils/hub.js"; // Initialise the testing environment env.allowLocalModels = false; env.useFSCache = false; const TEST_DATA = { "Xenova/bert-base-uncased": { model_type: "bert", }, }; describe("Configs", () => { for (c...
transformers.js/tests/configs.test.js/0
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import { AutoTokenizer, AutoProcessor, load_image, CLIPVisionModelWithProjection, CLIPTextModelWithProjection } from "../../../src/transformers.js"; import { MAX_TEST_EXECUTION_TIME, DEFAULT_MODEL_OPTIONS } from "../../init.js"; export default () => { const models_to_test = ["hf-internal-testing/tiny-random-CLIPMod...
transformers.js/tests/models/clip/test_modeling_clip.js/0
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import { GemmaTokenizer, GemmaForCausalLM } 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("GemmaForCausalLM", () => { const model_id = "Xenova/tiny-random-GemmaForC...
transformers.js/tests/models/gemma/test_modeling_gemma.js/0
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import { Idefics3Processor, Idefics3ForConditionalGeneration, 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 conversation = [ { role: "user", con...
transformers.js/tests/models/idefics3/test_modeling_idefics3.js/0
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import { MPNetTokenizer } from "../../../src/tokenizers.js"; import { BASE_TEST_STRINGS } from "../test_strings.js"; export const TOKENIZER_CLASS = MPNetTokenizer; export const TEST_CONFIG = { "Xenova/all-mpnet-base-v2": { SIMPLE: { text: BASE_TEST_STRINGS.SIMPLE, tokens: ["how", "are", "you", "doing...
transformers.js/tests/models/mpnet/test_tokenization_mpnet.js/0
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import { VitsTokenizer } from "../../../src/tokenizers.js"; import { BASE_TEST_STRINGS, VITS_TEST_STRINGS } from "../test_strings.js"; export const TOKENIZER_CLASS = VitsTokenizer; export const TEST_CONFIG = { "Xenova/mms-tts-eng": { SIMPLE: { text: BASE_TEST_STRINGS.SIMPLE, tokens: ["k", "h", "k", "...
transformers.js/tests/models/vits/test_tokenization_vits.js/0
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import { pipeline, ImageFeatureExtractionPipeline } from "../../src/transformers.js"; import { MAX_MODEL_LOAD_TIME, MAX_TEST_EXECUTION_TIME, MAX_MODEL_DISPOSE_TIME, DEFAULT_MODEL_OPTIONS } from "../init.js"; import { load_cached_image } from "../asset_cache.js"; const PIPELINE_ID = "image-feature-extraction"; export...
transformers.js/tests/pipelines/test_pipelines_image_feature_extraction.js/0
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import { pipeline, ZeroShotObjectDetectionPipeline } from "../../src/transformers.js"; import { MAX_MODEL_LOAD_TIME, MAX_TEST_EXECUTION_TIME, MAX_MODEL_DISPOSE_TIME, DEFAULT_MODEL_OPTIONS } from "../init.js"; import { load_cached_image } from "../asset_cache.js"; const PIPELINE_ID = "zero-shot-object-detection"; exp...
transformers.js/tests/pipelines/test_pipelines_zero_shot_object_detection.js/0
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version: 2.1 setup: true orbs: continuation: circleci/continuation@0.1.0 parameters: nightly: type: boolean default: false jobs: # Ensure running with CircleCI/huggingface check_circleci_user: docker: - image: python:3.10-slim resource_class: small p...
transformers/.circleci/config.yml/0
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from logging import Logger import os from threading import Event, Thread from time import perf_counter, sleep from typing import Optional from benchmarks_entrypoint import MetricsRecorder import gpustat import psutil import psycopg2 import torch from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationC...
transformers/benchmark/llama.py/0
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FROM python:3.9-slim ENV PYTHONDONTWRITEBYTECODE=1 ARG REF=main 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 git-lfs ENV UV_PYTHON=/usr/local/bin/python RUN pip --no-cache-dir install uv && uv venv && uv pip instal...
transformers/docker/torch-light.dockerfile/0
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FROM nvidia/cuda:12.1.0-cudnn8-devel-ubuntu22.04 LABEL maintainer="Hugging Face" ARG DEBIAN_FRONTEND=noninteractive RUN apt update RUN apt install -y git libsndfile1-dev tesseract-ocr espeak-ng python3 python3-pip ffmpeg RUN python3 -m pip install --no-cache-dir --upgrade pip ARG REF=main RUN git clone https://githu...
transformers/docker/transformers-tensorflow-gpu/Dockerfile/0
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# استخدام مجزئيات النصوص من 🤗 Tokenizers يعتمد [`PreTrainedTokenizerFast`] على مكتبة [🤗 Tokenizers](https://huggingface.co/docs/tokenizers). يمكن تحميل المجزئات اللغويين الذين تم الحصول عليهم من مكتبة 🤗 Tokenizers ببساطة شديدة في 🤗 Transformers. قبل الدخول في التفاصيل، دعونا نبدأ أولاً بإنشاء مُجزىء لغوي تجريبي ف...
transformers/docs/source/ar/fast_tokenizers.md/0
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# التعقيد اللغوي للنماذج ذات الطول الثابت [[open-in-colab]] التعقيد اللغوي (PPL) هي واحدة من أكثر المقاييس شيوعًا لتقييم نماذج اللغة. قبل الخوض في التفاصيل، يجب أن نلاحظ أن المقياس ينطبق تحديدًا على نماذج اللغة الكلاسيكية (يُطلق عليها أحيانًا نماذج اللغة التلقائية المرجعية أو السببية) وهي غير محددة جيدًا لنماذج اللغ...
transformers/docs/source/ar/perplexity.md/0
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transformers/docs/source/ar/tasks/token_classification.md/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 applicable law or ...
transformers/docs/source/de/contributing.md/0
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- sections: - local: index title: 🤗 Transformers - local: quicktour title: Quick tour - local: installation title: Installation - local: add_new_model title: Adding a new model to `transformers` title: Get started - sections: - local: pipeline_tutorial title: Run inference with pipeline...
transformers/docs/source/en/_toctree.yml/0
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transformers/docs/source/en/conversations.md/0
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transformers/docs/source/en/internal/generation_utils.md/0
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transformers/docs/source/en/model_doc/albert.md/0
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transformers/docs/source/en/model_doc/bertweet.md/0
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transformers/docs/source/en/model_doc/chameleon.md/0
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<!--Copyright 2022 The HuggingFace Team and The OpenBMB 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 app...
transformers/docs/source/en/model_doc/cpmant.md/0
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transformers/docs/source/en/model_doc/funnel.md/0
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transformers/docs/source/en/model_doc/granite.md/0
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transformers/docs/source/en/model_doc/imagegpt.md/0
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transformers/docs/source/en/model_doc/mask2former.md/0
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transformers/docs/source/en/model_doc/mobilenet_v1.md/0
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transformers/docs/source/en/model_doc/nemotron.md/0
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transformers/docs/source/en/model_doc/paligemma.md/0
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transformers/docs/source/en/model_doc/prophetnet.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/model_doc/retribert.md/0
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<!--Copyright 2025 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/siglip2.md/0
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transformers/docs/source/en/model_doc/vit_mae.md/0
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transformers/docs/source/en/model_doc/xlm-roberta-xl.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/docs/source/en/performance.md/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 applicable law or agreed...
transformers/docs/source/en/quantization/gptq.md/0
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transformers/docs/source/en/tasks/question_answering.md/0
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transformers/docs/source/en/tiktoken.md/0
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transformers/docs/source/es/create_a_model.md/0
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transformers/docs/source/es/pr_checks.md/0
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transformers/docs/source/hi/pipeline_tutorial.md/0
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transformers/docs/source/it/migration.md/0
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transformers/docs/source/it/run_scripts.md/0
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transformers/docs/source/ja/generation_strategies.md/0
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transformers/docs/source/ja/main_classes/callback.md/0
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transformers/docs/source/ja/main_classes/tokenizer.md/0
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transformers/docs/source/ja/model_doc/bertweet.md/0
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transformers/docs/source/ja/model_doc/chinese_clip.md/0
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transformers/docs/source/ja/model_doc/deberta-v2.md/0
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transformers/docs/source/ja/tasks/language_modeling.md/0
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transformers/docs/source/ja/tasks/zero_shot_object_detection.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/autoclass_tutorial.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. --> # 열심히 번역 중입니다. 조금 이따 만나요!
transformers/docs/source/ko/in_translation.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/ko/main_classes/callback.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/ko/model_doc/bart.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/ko/model_doc/encoder-decoder.md/0
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<!--Copyright 2023 IBM and HuggingFace Inc. team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law ...
transformers/docs/source/ko/model_doc/patchtsmixer.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/multilingual.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 ...
transformers/docs/source/ko/pr_checks.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/tasks/image_captioning.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/token_classification.md/0
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- sections: - local: index title: 🤗 Transformers - local: quicktour title: Lawatan cepat - local: installation title: Pemasangan title: Mulakan - sections: - local: pipeline_tutorial title: Jalankan inferens dengan saluran paip - local: autoclass_tutorial title: Tuli...
transformers/docs/source/ms/_toctree.yml/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/zh/big_models.md/0
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<!--版权所有 2020 年 HuggingFace 团队。保留所有权利。 根据 Apache 许可证 2.0 版本许可,除非符合许可证的规定,否则您不得使用此文件。您可以在以下网址获取许可证的副本: http://www.apache.org/licenses/LICENSE-2.0 除非适用法律要求或书面同意,否则依照许可证分发的软件是基于“原样”提供的,不附带任何明示或暗示的担保或条件。有关特定语言下权限的限制和限制,请参阅许可证。--> # 模型 基类 [`PreTrainedModel`]、[`TFPreTrainedModel`] 和 [`FlaxPreTrainedModel`] 实现了从本地文件或目录加载...
transformers/docs/source/zh/main_classes/model.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/zh/perf_train_cpu.md/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/question-answering/README.md/0
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#!/usr/bin/env python # 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/LI...
transformers/examples/flax/token-classification/run_flax_ner.py/0
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#!/usr/bin/env bash # for seqeval metrics import pip install -r ../requirements.txt ## The relevant files are currently on a shared Google ## drive at https://drive.google.com/drive/folders/1kC0I2UGl2ltrluI9NqDjaQJGw5iliw_J ## Monitor for changes and eventually migrate to use the `datasets` library curl -L 'https://d...
transformers/examples/legacy/pytorch-lightning/run_ner.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/save_len_file.py/0
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# 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨 # This file was automatically generated from examples/modular-transformers/modular_my_new_model2.py. # Do NOT edit this file manually as any edits will be overwritten by the generati...
transformers/examples/modular-transformers/configuration_my_new_model2.py/0
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# Note that zamba does not have the `apply_rotary_pos_emb` function! from transformers.models.llama.modeling_llama import apply_rotary_pos_emb from transformers.models.zamba.modeling_zamba import ZambaAttention # When following ZambaAttention dependencies, the function `apply_rotary_pos_emb` is not present # by defau...
transformers/examples/modular-transformers/modular_add_function.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/pytorch/audio-classification/README.md/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 applicable law or ...
transformers/examples/pytorch/instance-segmentation/README.md/0
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#!/usr/bin/env python # coding=utf-8 # Copyright The HuggingFace Team 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.ap...
transformers/examples/pytorch/multiple-choice/run_swag.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/utils_qa.py/0
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#!/usr/bin/env python # 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-...
transformers/examples/pytorch/token-classification/run_ner.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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[build-system] requires = [ "setuptools>=57.4.0", "wheel>=0.37.0", "transformers>=4.9.2" ] build-backend = "setuptools.build_meta"
transformers/examples/research_projects/fsner/pyproject.toml/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 bash python alignment.py \ --model_name="arijitx/wav2vec2-xls-r-300m-bengali" \ --wav_dir="./wavs" \ --text_file="script.txt" \ --input_wavs_sr=48000 \ --output_dir="./out_alignment" \ --cuda
transformers/examples/research_projects/wav2vec2/run_alignment.sh/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 # 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/LICENS...
transformers/scripts/fsmt/fsmt-make-tiny-model.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/agents.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/convert_tf_hub_seq_to_seq_bert_to_pytorch.py/0
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# THIS FILE HAS BEEN AUTOGENERATED. To update: # 1. modify the `_deps` dict in setup.py # 2. run `make deps_table_update`` deps = { "Pillow": "Pillow>=10.0.1,<=15.0", "accelerate": "accelerate>=0.26.0", "av": "av", "beautifulsoup4": "beautifulsoup4", "blobfile": "blobfile", "codecarbon": "codeca...
transformers/src/transformers/dependency_versions_table.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/src/transformers/generation/tf_utils.py/0
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# coding=utf-8 # Copyright 2024 NetEase, 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/LICENS...
transformers/src/transformers/integrations/eetq.py/0
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from pathlib import Path from typing import Any from transformers.convert_slow_tokenizer import TikTokenConverter from transformers.tokenization_utils_fast import TIKTOKEN_VOCAB_FILE, TOKENIZER_FILE def convert_tiktoken_to_fast(encoding: Any, output_dir: str): """ Converts given `tiktoken` encoding to `Pretr...
transformers/src/transformers/integrations/tiktoken.py/0
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/*! ************************************************************************************************** * Deformable DETR * Copyright (c) 2020 SenseTime. All Rights Reserved. * Licensed under the Apache License, Version 2.0 [see LICENSE for details] ***********************************************************************...
transformers/src/transformers/kernels/deta/cuda/ms_deform_attn_cuda.cuh/0
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