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export default function ArrowRightIcon(props) { return ( <svg {...props} xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" ...
transformers.js/examples/webgpu-vlm/src/components/icons/ArrowRightIcon.jsx/0
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import json from transformers.utils import cached_file def generate_tokenizer_json(model_path, tokenizer): # Marian models use two separate tokenizers for source and target languages. # So, we merge them into a single tokenizer. vocab_file = cached_file(model_path, 'vocab.json') with open(vocab_file)...
transformers.js/scripts/extra/marian.py/0
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/** * @module generation/logits_process */ import { Callable } from "../utils/generic.js"; import { Tensor } from "../utils/tensor.js"; import { max, log_softmax } from "../utils/maths.js"; /** * Abstract base class for all logit processors that can be applied during generation. */ export class LogitsProcessor ...
transformers.js/src/generation/logits_process.js/0
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import { Processor } from "../../base/processing_utils.js"; import { AutoImageProcessor } from "../auto/image_processing_auto.js"; import { AutoTokenizer } from "../../tokenizers.js"; export class JinaCLIPProcessor extends Processor { static tokenizer_class = AutoTokenizer static image_processor_class = AutoI...
transformers.js/src/models/jina_clip/processing_jina_clip.js/0
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import { Processor } from "../../base/processing_utils.js"; import { AutoImageProcessor } from "../auto/image_processing_auto.js"; import { AutoTokenizer } from "../../tokenizers.js"; const IMAGE_TOKEN = "<image>"; function build_string_from_input( prompt, bos_token, image_seq_len, image_token, nu...
transformers.js/src/models/paligemma/processing_paligemma.js/0
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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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CREATE TABLE IF NOT EXISTS benchmarks ( benchmark_id SERIAL PRIMARY KEY, branch VARCHAR(255), commit_id VARCHAR(72), commit_message VARCHAR(70), metadata jsonb, created_at timestamp without time zone NOT NULL DEFAULT (current_timestamp AT TIME ZONE 'UTC') ); CREATE INDEX IF NOT EXISTS benchmarks_benchmark_...
transformers/benchmark/init_db.sql/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 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 pip setuptoo...
transformers/docker/torch-jax-light.dockerfile/0
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FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04 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"] # The following `ARG` are mainly used to specify the versions explicit...
transformers/docker/transformers-quantization-latest-gpu/Dockerfile/0
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# بناء نماذج مخصصة تم تصميم مكتبة 🤗 Transformers لتكون قابلة للتوسيع بسهولة. كل نموذج مُشفّر بالكامل في مجلد فرعي معين بالمستودع، دون أي تجريد، لذلك يمكنك بسهولة نسخ ملف النمذجة وتعديله وفقًا لاحتياجاتك. إذا كنت تُنشئ نموذجًا جديدًا تمامًا، فقد يكون من الأسهل البدء من الصفر. في هذا البرنامج التعليمي، سنُرِيك كيفية ك...
transformers/docs/source/ar/custom_models.md/0
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# تحميل المحوّلات باستخدام 🤗 PEFT [[open-in-colab]] تقنية "التدريب الدقيق ذو الكفاءة البارامتيرية" (PEFT)](https://huggingface.co/blog/peft) تقوم بتجميد معلمات النموذج المُدرب مسبقًا أثناء الضبط الدقيق وتضيف عدد صغير من المعلمات القابلة للتدريب (المحولات) فوقه. يتم تدريب المحوّلات لتعلم معلومات خاصة بالمهام. وقد ثبت...
transformers/docs/source/ar/peft.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/autoclass_tutorial.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/custom_models.md/0
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transformers/docs/source/en/internal/modeling_utils.md/0
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transformers/docs/source/en/main_classes/feature_extractor.md/0
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transformers/docs/source/en/model_doc/altclip.md/0
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transformers/docs/source/en/model_doc/cvt.md/0
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transformers/docs/source/en/model_doc/gemma2.md/0
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transformers/docs/source/en/model_doc/llava_next_video.md/0
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transformers/docs/source/en/model_doc/mctct.md/0
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transformers/docs/source/en/model_doc/modernbert.md/0
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transformers/docs/source/en/model_doc/nougat.md/0
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<!--Copyright 2024 The Qwen Team 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 applic...
transformers/docs/source/en/model_doc/qwen2.md/0
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transformers/docs/source/en/model_doc/roformer.md/0
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transformers/docs/source/en/model_doc/splinter.md/0
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transformers/docs/source/en/model_doc/textnet.md/0
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transformers/docs/source/en/model_doc/vivit.md/0
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transformers/docs/source/en/model_doc/xlsr_wav2vec2.md/0
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transformers/docs/source/en/perf_infer_cpu.md/0
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transformers/docs/source/en/preprocessing.md/0
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transformers/docs/source/en/tasks/knowledge_distillation_for_image_classification.md/0
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transformers/docs/source/en/tasks/video_text_to_text.md/0
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transformers/docs/source/es/accelerate.md/0
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transformers/docs/source/es/model_sharing.md/0
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transformers/docs/source/es/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 ...
transformers/docs/source/fr/installation.md/0
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transformers/docs/source/it/big_models.md/0
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transformers/docs/source/it/perf_train_cpu.md/0
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transformers/docs/source/ja/bertology.md/0
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transformers/docs/source/ja/main_classes/model.md/0
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transformers/docs/source/ja/model_doc/bark.md/0
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transformers/docs/source/ja/model_doc/blip.md/0
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transformers/docs/source/ja/model_doc/convbert.md/0
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transformers/docs/source/ja/model_doc/dialogpt.md/0
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transformers/docs/source/ja/perf_train_gpu_many.md/0
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transformers/docs/source/ja/tasks/asr.md/0
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transformers/docs/source/ja/transformers_agents.md/0
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transformers/docs/source/ko/custom_models.md/0
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transformers/docs/source/ko/model_doc/blip.md/0
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transformers/docs/source/ko/model_doc/trajectory_transformer.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/perf_train_gpu_many.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/run_scripts.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/monocular_depth_estimation.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/tf_xla.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/pt/fast_tokenizers.md/0
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- sections: - local: index title: 🤗 Transformers 简介 - local: quicktour title: 快速上手 - local: installation title: 安装 title: 开始使用 - sections: - local: pipeline_tutorial title: 使用pipelines进行推理 - local: autoclass_tutorial title: 使用AutoClass编写可移植的代码 - local: preprocessing title: 预处理数据 ...
transformers/docs/source/zh/_toctree.yml/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 agree...
transformers/docs/source/zh/fsdp.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/zh/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/zh/main_classes/tokenizer.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/zh/serialization.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/language-modeling/README.md/0
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#!/usr/bin/env python # coding=utf-8 # Copyright 2020 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 copy of the License a...
transformers/examples/legacy/benchmarking/run_benchmark.py/0
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#!/usr/bin/env python # 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 co...
transformers/examples/legacy/run_openai_gpt.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/old_test_tatoeba_conversion.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/legacy/token-classification/run_ner.py/0
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# 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨 # This file was automatically generated from examples/modular-transformers/modular_from_uppercase_model.py. # Do NOT edit this file manually as any edits will be overwritten by the g...
transformers/examples/modular-transformers/modeling_from_uppercase_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/LI...
transformers/examples/pytorch/language-modeling/run_fim.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/speech-recognition/README.md/0
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#!/usr/bin/env python # 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. ...
transformers/examples/pytorch/text-classification/run_xnli.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/README.md/0
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# MIT License # Copyright (c) 2019 Yang Liu and the HuggingFace team # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, c...
transformers/examples/research_projects/bertabs/modeling_bertabs.py/0
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import json import multiprocessing import os import re from collections import defaultdict import torch from accelerate import Accelerator from accelerate.utils import set_seed from arguments import HumanEvalArguments from datasets import load_dataset, load_metric from torch.utils.data import IterableDataset from torc...
transformers/examples/research_projects/codeparrot/scripts/human_eval.py/0
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import torch from torch import nn from torch.nn import CrossEntropyLoss, MSELoss from transformers.file_utils import add_start_docstrings, add_start_docstrings_to_model_forward from transformers.models.bert.modeling_bert import ( BERT_INPUTS_DOCSTRING, BERT_START_DOCSTRING, BertEmbeddings, BertLayer, ...
transformers/examples/research_projects/deebert/src/modeling_highway_bert.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/research_projects/luke/run_luke_ner_no_trainer.py/0
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# Movement Pruning: Adaptive Sparsity by Fine-Tuning Author: @VictorSanh *Magnitude pruning is a widely used strategy for reducing model size in pure supervised learning; however, it is less effective in the transfer learning regime that has become standard for state-of-the-art natural language processing application...
transformers/examples/research_projects/movement-pruning/README.md/0
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<!--- Copyright 2021 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 copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agr...
transformers/examples/research_projects/quantization-qdqbert/README.md/0
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import logging import os from typing import List, Tuple import numpy as np import psutil import torch import torch.distributed as dist from transformers import RagRetriever logger = logging.getLogger(__name__) class RagPyTorchDistributedRetriever(RagRetriever): """ A distributed retriever built on top of ...
transformers/examples/research_projects/rag/distributed_pytorch_retriever.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/research_projects/robust-speech-event/run_speech_recognition_ctc_streaming.py/0
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#!/usr/bin/env bash export PYTHONPATH="../":"${PYTHONPATH}" export WANDB_PROJECT=dmar export MAX_LEN=128 export m=sshleifer/student_marian_en_ro_6_1 python finetune.py \ --learning_rate=3e-4 \ --do_train \ --fp16 \ --data_dir wmt_en_ro \ --max_source_length $MAX_LEN --max_target_length $MAX_LEN --val_max_targ...
transformers/examples/research_projects/seq2seq-distillation/dynamic_bs_example.sh/0
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# SynthID Text This project showcases the use of SynthIDText for watermarking LLMs. The code shown in this repo also demostrates the training of the detector for detecting such watermarked text. This detector can be uploaded onto a private HF hub repo (private for security reasons) and can be initialized again through...
transformers/examples/research_projects/synthid_text/README.md/0
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""" coding=utf-8 Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal Adapted From Facebook Inc, Detectron2 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/examples/research_projects/visual_bert/processing_image.py/0
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#!/usr/bin/env bash python run_asr.py \ --output_dir="./wav2vec2-base-timit-asr" \ --num_train_epochs="30" \ --per_device_train_batch_size="20" \ --per_device_eval_batch_size="20" \ --eval_strategy="steps" \ --save_steps="500" \ --eval_steps="100" \ --logging_steps="50" \ --learning_rate="5e-4" \ --warmup_steps="3000" ...
transformers/examples/research_projects/wav2vec2/finetune_base_timit_asr.sh/0
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import logging import os import sys from dataclasses import dataclass, field from typing import List, Optional import torch from datasets import Dataset from torch import nn from tqdm.auto import tqdm from transformers import ( AutoModelForSequenceClassification, AutoTokenizer, HfArgumentParser, Train...
transformers/examples/research_projects/zero-shot-distillation/distill_classifier.py/0
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#!/usr/bin/env python # coding=utf-8 # Copyright 2020 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/text-classification/run_glue.py/0
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#!/usr/bin/env bash # 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 r...
transformers/scripts/fsmt/convert-facebook-wmt19.sh/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/__init__.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/text_to_speech.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/src/transformers/commands/transformers_cli.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/processors/__init__.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/configuration_utils.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/image_utils.py/0
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