text stringlengths 5 424k | id stringlengths 13 178 | metadata dict | __index_level_0__ int64 0 672 |
|---|---|---|---|
use crate::parallelism::*;
use crate::tokenizer::{Offsets, Token};
use crate::utils::padding::PaddingDirection;
use crate::utils::truncation::TruncationDirection;
use ahash::AHashMap;
use serde::{Deserialize, Serialize};
use std::ops::Range;
/// Represents the output of a `Tokenizer`.
#[derive(Default, PartialEq, Debu... | tokenizers/tokenizers/src/tokenizer/encoding.rs/0 | {
"file_path": "tokenizers/tokenizers/src/tokenizer/encoding.rs",
"repo_id": "tokenizers",
"token_count": 17200
} | 319 |
mod common;
use common::*;
use tokenizers::tokenizer::AddedToken;
#[test]
fn add_tokens() {
let mut tokenizer = get_empty();
assert_eq!(
tokenizer.add_special_tokens(&[
AddedToken::from("<cls>", true),
AddedToken::from("<sep>", true)
]),
2
);
assert_eq!... | tokenizers/tokenizers/tests/added_tokens.rs/0 | {
"file_path": "tokenizers/tokenizers/tests/added_tokens.rs",
"repo_id": "tokenizers",
"token_count": 1770
} | 320 |
- local: index
title: 🤗 Transformers.js
- sections:
- local: installation
title: Installation
- local: pipelines
title: The pipeline API
- local: custom_usage
title: Custom usage
title: Get started
- sections:
- local: tutorials/vanilla-js
title: Building a Vanilla JS Application
- local:... | transformers.js/docs/source/_toctree.yml/0 | {
"file_path": "transformers.js/docs/source/_toctree.yml",
"repo_id": "transformers.js",
"token_count": 825
} | 321 |
{
"name": "code-completion",
"version": "0.0.0",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "code-completion",
"version": "0.0.0",
"dependencies": {
"@monaco-editor/react": "^4.5.1",
"@xenova/transformers": "^2.4.4",
"react": "^18.2.0",
... | transformers.js/examples/code-completion/package-lock.json/0 | {
"file_path": "transformers.js/examples/code-completion/package-lock.json",
"repo_id": "transformers.js",
"token_count": 69198
} | 322 |
// This file (model.js) contains all the logic for loading the model and running predictions.
class MyClassificationPipeline {
// NOTE: Replace this with your own task and model
static task = 'text-classification';
static model = 'Xenova/distilbert-base-uncased-finetuned-sst-2-english';
static instance... | transformers.js/examples/electron/src/model.js/0 | {
"file_path": "transformers.js/examples/electron/src/model.js",
"repo_id": "transformers.js",
"token_count": 366
} | 323 |
module.exports = {
plugins: {
tailwindcss: {},
autoprefixer: {},
},
}
| transformers.js/examples/next-client/postcss.config.js/0 | {
"file_path": "transformers.js/examples/next-client/postcss.config.js",
"repo_id": "transformers.js",
"token_count": 38
} | 324 |
{
"name": "esm",
"version": "1.0.0",
"description": "Server-side inference with Transformers.js (ESM)",
"type": "module",
"main": "app.js",
"keywords": [],
"author": "Xenova",
"license": "ISC",
"dependencies": {
"@xenova/transformers": "^2.0.0"
}
}
| transformers.js/examples/node/esm/package.json/0 | {
"file_path": "transformers.js/examples/node/esm/package.json",
"repo_id": "transformers.js",
"token_count": 116
} | 325 |
@import url('https://fonts.googleapis.com/css2?family=Montserrat&display=swap');
* {
box-sizing: border-box;
padding: 0;
margin: 0;
font-family: 'Montserrat', sans-serif;
}
html {
background: radial-gradient(ellipse at center, #1b2735 0%, #090a0f 100%);
height: 100%;
width: 100%;
}
body {
overflow: h... | transformers.js/examples/semantic-audio-search/style.css/0 | {
"file_path": "transformers.js/examples/semantic-audio-search/style.css",
"repo_id": "transformers.js",
"token_count": 707
} | 326 |
module.exports = {
plugins: {
tailwindcss: {},
autoprefixer: {},
},
}
| transformers.js/examples/semantic-image-search/postcss.config.js/0 | {
"file_path": "transformers.js/examples/semantic-image-search/postcss.config.js",
"repo_id": "transformers.js",
"token_count": 38
} | 327 |
import { pipeline, env } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.6.0';
// Since we will download the model from the Hugging Face Hub, we can skip the local model check
env.allowLocalModels = false;
// Reference the elements that we will need
const status = document.getElementById('status');
const fi... | transformers.js/examples/vanilla-js/index.js/0 | {
"file_path": "transformers.js/examples/vanilla-js/index.js",
"repo_id": "transformers.js",
"token_count": 817
} | 328 |
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Transformers.js | Real-time depth estimation</title>
</head>
<body>
<h1>
Real-time depth estimation w/
<a href="https://huggingface.co/onnx-community/depth-a... | transformers.js/examples/webgpu-video-depth-estimation/index.html/0 | {
"file_path": "transformers.js/examples/webgpu-video-depth-estimation/index.html",
"repo_id": "transformers.js",
"token_count": 534
} | 329 |
<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Whisper Timestamped</title>
</head>
<body>
<div id="root"></div>
<script type="module" src="/src/main.jsx"></script>
</body>
</html>
| transformers.js/examples/whisper-word-timestamps/index.html/0 | {
"file_path": "transformers.js/examples/whisper-word-timestamps/index.html",
"repo_id": "transformers.js",
"token_count": 130
} | 330 |
from transformers.convert_slow_tokenizer import Converter
from tokenizers import Tokenizer, pre_tokenizers, processors
from tokenizers.models import WordPiece
class EsmConverter(Converter):
def converted(self) -> Tokenizer:
vocab = self.original_tokenizer.vocab
tokenizer = Tokenizer(WordPiece(voca... | transformers.js/scripts/extra/esm.py/0 | {
"file_path": "transformers.js/scripts/extra/esm.py",
"repo_id": "transformers.js",
"token_count": 1055
} | 331 |
/**
* @file Helper module for using model configs. For more information, see the corresponding
* [Python documentation](https://huggingface.co/docs/transformers/main/en/model_doc/auto#transformers.AutoConfig).
*
* **Example:** Load an `AutoConfig`.
*
* ```javascript
* import { AutoConfig } from '@huggingface/... | transformers.js/src/configs.js/0 | {
"file_path": "transformers.js/src/configs.js",
"repo_id": "transformers.js",
"token_count": 8201
} | 332 |
import { FeatureExtractor, validate_audio_inputs } from '../../base/feature_extraction_utils.js';
import { Tensor } from '../../utils/tensor.js';
import { mel_filter_bank, spectrogram, window_function } from '../../utils/audio.js';
export class ClapFeatureExtractor extends FeatureExtractor {
constructor(config) ... | transformers.js/src/models/clap/feature_extraction_clap.js/0 | {
"file_path": "transformers.js/src/models/clap/feature_extraction_clap.js",
"repo_id": "transformers.js",
"token_count": 3003
} | 333 |
import {
ImageProcessor,
} from "../../base/image_processors_utils.js";
import { ones } from '../../utils/tensor.js';
/**
* @typedef {object} GroundingDinoFeatureExtractorResultProps
* @property {import('../../utils/tensor.js').Tensor} pixel_mask
* @typedef {import('../../base/image_processors_utils.js').Ima... | transformers.js/src/models/grounding_dino/image_processing_grounding_dino.js/0 | {
"file_path": "transformers.js/src/models/grounding_dino/image_processing_grounding_dino.js",
"repo_id": "transformers.js",
"token_count": 385
} | 334 |
import {
ImageProcessor,
} from "../../base/image_processors_utils.js";
import { cat, Tensor } from "../../utils/tensor.js";
export class Qwen2VLImageProcessor extends ImageProcessor {
async _call(images, ...args) {
const { pixel_values, original_sizes, reshaped_input_sizes } = await super._call(images... | transformers.js/src/models/qwen2_vl/image_processing_qwen2_vl.js/0 | {
"file_path": "transformers.js/src/models/qwen2_vl/image_processing_qwen2_vl.js",
"repo_id": "transformers.js",
"token_count": 888
} | 335 |
import {
ImageProcessor,
} from "../../base/image_processors_utils.js";
export class ViTImageProcessor extends ImageProcessor { }
export class ViTFeatureExtractor extends ViTImageProcessor { }
| transformers.js/src/models/vit/image_processing_vit.js/0 | {
"file_path": "transformers.js/src/models/vit/image_processing_vit.js",
"repo_id": "transformers.js",
"token_count": 61
} | 336 |
/**
* @file Entry point for the Transformers.js library. Only the exports from this file
* are available to the end user, and are grouped as follows:
*
* 1. [Pipelines](./pipelines)
* 2. [Environment variables](./env)
* 3. [Models](./models)
* 4. [Tokenizers](./tokenizers)
* 5. [Processors](./processors)
*
... | transformers.js/src/transformers.js/0 | {
"file_path": "transformers.js/src/transformers.js",
"repo_id": "transformers.js",
"token_count": 556
} | 337 |
import { init } from "./init.js";
import { collect_and_execute_tests } from "./test_utils.js";
init();
await collect_and_execute_tests("Feature extractors", "feature_extraction");
| transformers.js/tests/feature_extractors.test.js/0 | {
"file_path": "transformers.js/tests/feature_extractors.test.js",
"repo_id": "transformers.js",
"token_count": 57
} | 338 |
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 | {
"file_path": "transformers.js/tests/models/clip/test_modeling_clip.js",
"repo_id": "transformers.js",
"token_count": 787
} | 339 |
import { AutoImageProcessor, Idefics3ImageProcessor } 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 () => {
// Idefics3ImageProcessor
// - custom image processing (patc... | transformers.js/tests/models/idefics3/test_image_processing_idefics3.js/0 | {
"file_path": "transformers.js/tests/models/idefics3/test_image_processing_idefics3.js",
"repo_id": "transformers.js",
"token_count": 1918
} | 340 |
import { AutoImageProcessor, Phi3VImageProcessor } from "../../../src/transformers.js";
import { load_cached_image } from "../../asset_cache.js";
import { MAX_PROCESSOR_LOAD_TIME, MAX_TEST_EXECUTION_TIME } from "../../init.js";
const TARGET_IMAGE_SIZE = [3, 336, 336];
export default () => {
// Phi3VImageProcessor
... | transformers.js/tests/models/phi3_v/test_image_processing_phi3_v.js/0 | {
"file_path": "transformers.js/tests/models/phi3_v/test_image_processing_phi3_v.js",
"repo_id": "transformers.js",
"token_count": 1634
} | 341 |
import { pipeline, DocumentQuestionAnsweringPipeline, RawImage } 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 = "document-question-answering";
export default () => {
describe("Document Q... | transformers.js/tests/pipelines/test_pipelines_document_question_answering.js/0 | {
"file_path": "transformers.js/tests/pipelines/test_pipelines_document_question_answering.js",
"repo_id": "transformers.js",
"token_count": 571
} | 342 |
import { pipeline, TranslationPipeline } 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 = "translation";
export default () => {
describe("Translation", () => {
const model_id = "Xenova... | transformers.js/tests/pipelines/test_pipelines_translation.js/0 | {
"file_path": "transformers.js/tests/pipelines/test_pipelines_translation.js",
"repo_id": "transformers.js",
"token_count": 607
} | 343 |
import { AutoProcessor, hamming, hanning, mel_filter_bank } from "../../src/transformers.js";
import { getFile } from "../../src/utils/hub.js";
import { RawImage } from "../../src/utils/image.js";
import { MAX_TEST_EXECUTION_TIME } from "../init.js";
import { compare } from "../test_utils.js";
describe("Utilities", (... | transformers.js/tests/utils/utils.test.js/0 | {
"file_path": "transformers.js/tests/utils/utils.test.js",
"repo_id": "transformers.js",
"token_count": 1769
} | 344 |
# 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/benchmark/benchmark.py/0 | {
"file_path": "transformers/benchmark/benchmark.py",
"repo_id": "transformers",
"token_count": 5437
} | 345 |
# 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/conftest.py/0 | {
"file_path": "transformers/conftest.py",
"repo_id": "transformers",
"token_count": 1881
} | 346 |
# https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-23-11.html#rel-23-11
FROM nvcr.io/nvidia/pytorch:24.08-py3
LABEL maintainer="Hugging Face"
ARG DEBIAN_FRONTEND=noninteractive
# Example: `cu102`, `cu113`, etc.
ARG CUDA='cu126'
RUN apt -y update
RUN apt install -y libaio-dev
RUN python3 -m p... | transformers/docker/transformers-pytorch-deepspeed-nightly-gpu/Dockerfile/0 | {
"file_path": "transformers/docker/transformers-pytorch-deepspeed-nightly-gpu/Dockerfile",
"repo_id": "transformers",
"token_count": 1118
} | 347 |
# BERTology
يُشهد في الآونة الأخيرة نمو مجال دراسي يُعنى باستكشاف آلية عمل نماذج المحولات الضخمة مثل BERT (والذي يُطلق عليها البعض اسم "BERTology"). ومن الأمثلة البارزة على هذا المجال ما يلي:
- BERT Rediscovers the Classical NLP Pipeline بواسطة Ian Tenney و Dipanjan Das و Ellie Pavlick:
https://huggingface.co/paper... | transformers/docs/source/ar/bertology.md/0 | {
"file_path": "transformers/docs/source/ar/bertology.md",
"repo_id": "transformers",
"token_count": 973
} | 348 |
<!--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/ar/tasks/language_modeling.md/0 | {
"file_path": "transformers/docs/source/ar/tasks/language_modeling.md",
"repo_id": "transformers",
"token_count": 7256
} | 349 |
- sections:
- local: index
title: 🤗 Transformers
- local: quicktour
title: Schnellstart
- local: installation
title: Installation
title: Erste Schritte
- sections:
- local: pipeline_tutorial
title: Pipelines für Inferenzen
- local: autoclass_tutorial
title: Laden von vortrainierten Inst... | transformers/docs/source/de/_toctree.yml/0 | {
"file_path": "transformers/docs/source/de/_toctree.yml",
"repo_id": "transformers",
"token_count": 430
} | 350 |
<!--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/de/testing.md/0 | {
"file_path": "transformers/docs/source/de/testing.md",
"repo_id": "transformers",
"token_count": 19213
} | 351 |
<!--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/chat_templating_multimodal.md/0 | {
"file_path": "transformers/docs/source/en/chat_templating_multimodal.md",
"repo_id": "transformers",
"token_count": 3558
} | 352 |
<!--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/glossary.md/0 | {
"file_path": "transformers/docs/source/en/glossary.md",
"repo_id": "transformers",
"token_count": 6743
} | 353 |
<!--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/onnx.md/0 | {
"file_path": "transformers/docs/source/en/main_classes/onnx.md",
"repo_id": "transformers",
"token_count": 523
} | 354 |
<!--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/arcee.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/arcee.md",
"repo_id": "transformers",
"token_count": 1184
} | 355 |
<!--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 agreed... | transformers/docs/source/en/model_doc/big_bird.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/big_bird.md",
"repo_id": "transformers",
"token_count": 1597
} | 356 |
<!--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 agreed... | transformers/docs/source/en/model_doc/canine.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/canine.md",
"repo_id": "transformers",
"token_count": 1300
} | 357 |
<!--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/convnext.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/convnext.md",
"repo_id": "transformers",
"token_count": 1191
} | 358 |
<!--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 to... | transformers/docs/source/en/model_doc/dinov2_with_registers.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/dinov2_with_registers.md",
"repo_id": "transformers",
"token_count": 1072
} | 359 |
<!--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/flava.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/flava.md",
"repo_id": "transformers",
"token_count": 1040
} | 360 |
<!--Copyright 2025 The ZhipuAI 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/LICENSE-2.0
Unless required b... | transformers/docs/source/en/model_doc/glm4v.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/glm4v.md",
"repo_id": "transformers",
"token_count": 2676
} | 361 |
<!--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/granitemoehybrid.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/granitemoehybrid.md",
"repo_id": "transformers",
"token_count": 1232
} | 362 |
<!--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 ag... | transformers/docs/source/en/model_doc/longcat_flash.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/longcat_flash.md",
"repo_id": "transformers",
"token_count": 1644
} | 363 |
<!--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/mobilebert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/mobilebert.md",
"repo_id": "transformers",
"token_count": 1340
} | 364 |
<!--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/opt.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/opt.md",
"repo_id": "transformers",
"token_count": 1707
} | 365 |
<!--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_moe.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/qwen2_moe.md",
"repo_id": "transformers",
"token_count": 2020
} | 366 |
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"token_count": 827
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"token_count": 800
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Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/voxtral.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/voxtral.md",
"repo_id": "transformers",
"token_count": 4854
} | 371 |
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Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/xls_r.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/xls_r.md",
"repo_id": "transformers",
"token_count": 879
} | 372 |
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"file_path": "transformers/docs/source/en/pipeline_tutorial.md",
"repo_id": "transformers",
"token_count": 5405
} | 373 |
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"file_path": "transformers/docs/source/en/quantization/gptq.md",
"repo_id": "transformers",
"token_count": 2618
} | 374 |
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Unless required by applicable law or agreed... | transformers/docs/source/en/tasks/monocular_depth_estimation.md/0 | {
"file_path": "transformers/docs/source/en/tasks/monocular_depth_estimation.md",
"repo_id": "transformers",
"token_count": 2037
} | 376 |
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"file_path": "transformers/docs/source/en/tasks/zero_shot_object_detection.md",
"repo_id": "transformers",
"token_count": 4125
} | 377 |
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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
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Unless required by applicable law or agreed... | transformers/docs/source/es/autoclass_tutorial.md/0 | {
"file_path": "transformers/docs/source/es/autoclass_tutorial.md",
"repo_id": "transformers",
"token_count": 1659
} | 378 |
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Unless required by applicable law or agreed... | transformers/docs/source/es/perplexity.md/0 | {
"file_path": "transformers/docs/source/es/perplexity.md",
"repo_id": "transformers",
"token_count": 3119
} | 379 |
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"file_path": "transformers/docs/source/es/tasks/multiple_choice.md",
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"token_count": 2108
} | 380 |
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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
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Unless required by applicable law or agreed... | transformers/docs/source/fr/task_summary.md/0 | {
"file_path": "transformers/docs/source/fr/task_summary.md",
"repo_id": "transformers",
"token_count": 8189
} | 381 |
<!--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
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"file_path": "transformers/docs/source/it/debugging.md",
"repo_id": "transformers",
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} | 382 |
<!---
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/it/pr_checks.md/0 | {
"file_path": "transformers/docs/source/it/pr_checks.md",
"repo_id": "transformers",
"token_count": 2370
} | 383 |
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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
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Unless required by applicable law or agreed... | transformers/docs/source/ja/custom_models.md/0 | {
"file_path": "transformers/docs/source/ja/custom_models.md",
"repo_id": "transformers",
"token_count": 7500
} | 384 |
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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
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Unless required by applicable law or agreed... | transformers/docs/source/ja/llm_tutorial.md/0 | {
"file_path": "transformers/docs/source/ja/llm_tutorial.md",
"repo_id": "transformers",
"token_count": 5627
} | 385 |
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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
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Unless required by applicable law or agreed... | transformers/docs/source/ja/main_classes/tokenizer.md/0 | {
"file_path": "transformers/docs/source/ja/main_classes/tokenizer.md",
"repo_id": "transformers",
"token_count": 1908
} | 386 |
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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
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Unless required by applicable law or agreed... | transformers/docs/source/ja/model_doc/bertweet.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/bertweet.md",
"repo_id": "transformers",
"token_count": 1155
} | 387 |
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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/ja/model_doc/chinese_clip.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/chinese_clip.md",
"repo_id": "transformers",
"token_count": 2277
} | 388 |
<!--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/ja/model_doc/deberta-v2.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/deberta-v2.md",
"repo_id": "transformers",
"token_count": 2758
} | 389 |
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-->
# 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 | {
"file_path": "transformers/docs/source/ja/pipeline_webserver.md",
"repo_id": "transformers",
"token_count": 3402
} | 390 |
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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
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"file_path": "transformers/docs/source/ja/testing.md",
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"token_count": 22630
} | 391 |
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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
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Unless required by applicable law or agreed... | transformers/docs/source/ko/custom_models.md/0 | {
"file_path": "transformers/docs/source/ko/custom_models.md",
"repo_id": "transformers",
"token_count": 10728
} | 392 |
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Unless required by applicable law or agreed... | transformers/docs/source/ko/main_classes/model.md/0 | {
"file_path": "transformers/docs/source/ko/main_classes/model.md",
"repo_id": "transformers",
"token_count": 1417
} | 393 |
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Unless required by applicable law or agreed... | transformers/docs/source/ko/model_doc/barthez.md/0 | {
"file_path": "transformers/docs/source/ko/model_doc/barthez.md",
"repo_id": "transformers",
"token_count": 2135
} | 394 |
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the License. You may obtain a copy of the License at
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Unless required by applicable law or agreed... | transformers/docs/source/ko/model_doc/deberta.md/0 | {
"file_path": "transformers/docs/source/ko/model_doc/deberta.md",
"repo_id": "transformers",
"token_count": 4447
} | 395 |
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the License. You may obtain a copy of the License at
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Unless required by applicable law or agreed... | transformers/docs/source/ko/model_doc/swin2sr.md/0 | {
"file_path": "transformers/docs/source/ko/model_doc/swin2sr.md",
"repo_id": "transformers",
"token_count": 2504
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Unless required by applicable law or agreed to... | transformers/docs/source/ko/peft.md/0 | {
"file_path": "transformers/docs/source/ko/peft.md",
"repo_id": "transformers",
"token_count": 5060
} | 397 |
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Unless required by applicable law or agreed... | transformers/docs/source/ko/quantization/awq.md/0 | {
"file_path": "transformers/docs/source/ko/quantization/awq.md",
"repo_id": "transformers",
"token_count": 7293
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the License. You may obtain a copy of the License at
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"file_path": "transformers/docs/source/ko/tasks/image_feature_extraction.md",
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"token_count": 3506
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"file_path": "transformers/docs/source/ko/tasks/translation.md",
"repo_id": "transformers",
"token_count": 7173
} | 400 |
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the License. You may obtain a copy of the License at
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"token_count": 2730
} | 402 |
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# 模型
基类 [`PreTrainedModel`] 实现了从本地文件或目录加载/保存模型的常用方法，或者从库上提供的预训练模型配置（从 HuggingFace 的 AWS S... | transformers/docs/source/zh/main_classes/model.md/0 | {
"file_path": "transformers/docs/source/zh/main_classes/model.md",
"repo_id": "transformers",
"token_count": 3044
} | 403 |
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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
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"file_path": "transformers/docs/source/zh/perf_torch_compile.md",
"repo_id": "transformers",
"token_count": 6785
} | 404 |
# 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/examples/3D_parallel.py/0 | {
"file_path": "transformers/examples/3D_parallel.py",
"repo_id": "transformers",
"token_count": 8103
} | 405 |
#### Fine-tuning BERT on SQuAD1.0 with relative position embeddings
The following examples show how to fine-tune BERT models with different relative position embeddings. The BERT model
`google-bert/bert-base-uncased` was pretrained with default absolute position embeddings. We provide the following pretrained
models... | transformers/examples/legacy/question-answering/README.md/0 | {
"file_path": "transformers/examples/legacy/question-answering/README.md",
"repo_id": "transformers",
"token_count": 1771
} | 406 |
#!/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/minify_dataset.py/0 | {
"file_path": "transformers/examples/legacy/seq2seq/minify_dataset.py",
"repo_id": "transformers",
"token_count": 398
} | 407 |
# 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/sentence_splitter.py/0 | {
"file_path": "transformers/examples/legacy/seq2seq/sentence_splitter.py",
"repo_id": "transformers",
"token_count": 403
} | 408 |
# 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_mbart_cc25_enro.sh/0 | {
"file_path": "transformers/examples/legacy/seq2seq/train_mbart_cc25_enro.sh",
"repo_id": "transformers",
"token_count": 500
} | 409 |
# Example usage of the trace and attach_tracer decorators
from transformers.utils.metrics import attach_tracer, traced
@attach_tracer()
class ExampleClass:
def __init__(self, name):
# The attach_tracer decorator has already created self.tracer for us
self.name = name
@traced # This method w... | transformers/examples/metrics-monitoring/metrics_example.py/0 | {
"file_path": "transformers/examples/metrics-monitoring/metrics_example.py",
"repo_id": "transformers",
"token_count": 535
} | 410 |
# 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from examples/modular-transformers/modular_multimodal2.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation... | transformers/examples/modular-transformers/modeling_multimodal2.py/0 | {
"file_path": "transformers/examples/modular-transformers/modeling_multimodal2.py",
"repo_id": "transformers",
"token_count": 10149
} | 411 |
# Example where we only want to overwrite the defaults of an init
from transformers.models.gemma.configuration_gemma import GemmaConfig
class NewModelConfig(GemmaConfig):
def __init__(
self,
vocab_size=256030,
hidden_size=64,
intermediate_size=90,
num_hidden_layers=28,
... | transformers/examples/modular-transformers/modular_new_model.py/0 | {
"file_path": "transformers/examples/modular-transformers/modular_new_model.py",
"repo_id": "transformers",
"token_count": 468
} | 412 |
<!---
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/contrastive-image-text/README.md/0 | {
"file_path": "transformers/examples/pytorch/contrastive-image-text/README.md",
"repo_id": "transformers",
"token_count": 1254
} | 413 |
<!---
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/pytorch/language-modeling/README.md/0 | {
"file_path": "transformers/examples/pytorch/language-modeling/README.md",
"repo_id": "transformers",
"token_count": 3374
} | 414 |
#!/usr/bin/env python
# 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/LICENSE-2.0
#
# U... | transformers/examples/pytorch/object-detection/run_object_detection.py/0 | {
"file_path": "transformers/examples/pytorch/object-detection/run_object_detection.py",
"repo_id": "transformers",
"token_count": 8121
} | 415 |
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | transformers/examples/pytorch/semantic-segmentation/run_semantic_segmentation_no_trainer.py/0 | {
"file_path": "transformers/examples/pytorch/semantic-segmentation/run_semantic_segmentation_no_trainer.py",
"repo_id": "transformers",
"token_count": 11290
} | 416 |
#!/usr/bin/env python
# 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.apache.org/licens... | transformers/examples/pytorch/translation/run_translation.py/0 | {
"file_path": "transformers/examples/pytorch/translation/run_translation.py",
"repo_id": "transformers",
"token_count": 12381
} | 417 |
from abc import ABC, abstractmethod
from collections.abc import Iterable
from typing import Any, Optional
import torch
from .configuration_utils import PretrainedConfig
from .utils import (
is_hqq_available,
is_quanto_greater,
is_torch_greater_or_equal,
is_torchdynamo_compiling,
logging,
)
if is... | transformers/src/transformers/cache_utils.py/0 | {
"file_path": "transformers/src/transformers/cache_utils.py",
"repo_id": "transformers",
"token_count": 27484
} | 418 |
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