text stringlengths 5 409k | id stringlengths 14 178 | metadata dict | __index_level_0__ int64 0 572 |
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# 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/LICENSE-2.0
#
# Unless r... | text-generation-inference/server/text_generation_server/models/custom_modeling/llava_next.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/llava_next.py",
"repo_id": "text-generation-inference",
"token_count": 5448
} | 254 |
import torch
import torch.distributed
from transformers import AutoTokenizer, PreTrainedTokenizerBase
from typing import Optional, Union
from text_generation_server.models.custom_modeling.mamba_modeling import (
MambaConfig,
)
from loguru import logger
from text_generation_server.pb import generate_pb2
from text_ge... | text-generation-inference/server/text_generation_server/models/mamba.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/mamba.py",
"repo_id": "text-generation-inference",
"token_count": 15065
} | 255 |
import os
import torch
from torch.distributed import ProcessGroup
from datetime import timedelta
from loguru import logger
from text_generation_server.utils.import_utils import SYSTEM
# Tensor Parallelism settings
RANK = int(os.getenv("RANK", "0"))
WORLD_SIZE = int(os.getenv("WORLD_SIZE", "1"))
# CUDA memory fraction... | text-generation-inference/server/text_generation_server/utils/dist.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/dist.py",
"repo_id": "text-generation-inference",
"token_count": 1414
} | 256 |
import torch
from abc import ABC, abstractmethod
from contextlib import contextmanager
from pathlib import Path
from typing import Dict, List, Optional, Union, Type
from safetensors import safe_open
from dataclasses import dataclass
from text_generation_server.utils.import_utils import SYSTEM
class WeightsLoader(AB... | text-generation-inference/server/text_generation_server/utils/weights.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/weights.py",
"repo_id": "text-generation-inference",
"token_count": 6743
} | 257 |
[package]
authors = ["Nicolas Patry <nicolas@huggingface.co>"]
edition = "2021"
name = "node"
version = "0.21.0-dev.0"
# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
[lib]
crate-type = ["cdylib"]
[dependencies]
napi = "2"
napi-derive = "2"
serde = { v... | tokenizers/bindings/node/Cargo.toml/0 | {
"file_path": "tokenizers/bindings/node/Cargo.toml",
"repo_id": "tokenizers",
"token_count": 200
} | 258 |
import { prependNormalizer, stripAccentsNormalizer, stripNormalizer } from '../../'
describe('stripNormalizer', () => {
it('instantiates with no parameters', () => {
const normalizer = stripNormalizer()
expect(normalizer.constructor.name).toEqual('Normalizer')
})
it('accepts `undefined` as first paramet... | tokenizers/bindings/node/lib/bindings/normalizers.test.ts/0 | {
"file_path": "tokenizers/bindings/node/lib/bindings/normalizers.test.ts",
"repo_id": "tokenizers",
"token_count": 468
} | 259 |
{
"name": "tokenizers-linux-arm-gnueabihf",
"version": "0.13.4-rc1",
"os": [
"linux"
],
"cpu": [
"arm"
],
"main": "tokenizers.linux-arm-gnueabihf.node",
"files": [
"tokenizers.linux-arm-gnueabihf.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-r... | tokenizers/bindings/node/npm/linux-arm-gnueabihf/package.json/0 | {
"file_path": "tokenizers/bindings/node/npm/linux-arm-gnueabihf/package.json",
"repo_id": "tokenizers",
"token_count": 278
} | 260 |
tab_spaces = 2
| tokenizers/bindings/node/rustfmt.toml/0 | {
"file_path": "tokenizers/bindings/node/rustfmt.toml",
"repo_id": "tokenizers",
"token_count": 7
} | 261 |
export type TextInputSequence = string
export type PreTokenizedInputSequence = string[]
export type InputSequence = TextInputSequence | PreTokenizedInputSequence
export type TextEncodeInput = TextInputSequence | [TextInputSequence, TextInputSequence]
export type PreTokenizedEncodeInput = PreTokenizedInputSequence | [P... | tokenizers/bindings/node/types.ts/0 | {
"file_path": "tokenizers/bindings/node/types.ts",
"repo_id": "tokenizers",
"token_count": 114
} | 262 |
<jupyter_start><jupyter_code>!wget https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased-vocab.txt -O /tmp/bert-base-uncased-vocab.txt
from tokenizers import BertWordPieceTokenizer
from tokenizers.tools import EncodingVisualizer
EncodingVisualizer.unk_token_regex.search("aaa[udsnk]aaa")
text = """Mathia... | tokenizers/bindings/python/examples/using_the_visualizer.ipynb/0 | {
"file_path": "tokenizers/bindings/python/examples/using_the_visualizer.ipynb",
"repo_id": "tokenizers",
"token_count": 1222
} | 263 |
# Generated content DO NOT EDIT
from .. import pre_tokenizers
PreTokenizer = pre_tokenizers.PreTokenizer
BertPreTokenizer = pre_tokenizers.BertPreTokenizer
ByteLevel = pre_tokenizers.ByteLevel
CharDelimiterSplit = pre_tokenizers.CharDelimiterSplit
Digits = pre_tokenizers.Digits
Metaspace = pre_tokenizers.Metaspace
Pun... | tokenizers/bindings/python/py_src/tokenizers/pre_tokenizers/__init__.py/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/pre_tokenizers/__init__.py",
"repo_id": "tokenizers",
"token_count": 177
} | 264 |
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use tk::tokenizer::{Offsets, PaddingDirection};
use tk::utils::truncation::TruncationDirection;
use tokenizers as tk;
use crate::error::{deprecation_warning, PyError};
/// The :class:`~tokenizers.Encoding` represents the output of a :class:`~tokenizers.T... | tokenizers/bindings/python/src/encoding.rs/0 | {
"file_path": "tokenizers/bindings/python/src/encoding.rs",
"repo_id": "tokenizers",
"token_count": 7409
} | 265 |
import argparse
import inspect
import os
from pathlib import Path
INDENT = " " * 4
GENERATED_COMMENT = "# Generated content DO NOT EDIT\n"
def do_indent(text: str, indent: str):
return text.replace("\n", f"\n{indent}")
def function(obj, indent, text_signature=None):
if text_signature is None:
text... | tokenizers/bindings/python/stub.py/0 | {
"file_path": "tokenizers/bindings/python/stub.py",
"repo_id": "tokenizers",
"token_count": 2392
} | 266 |
# Models
<tokenizerslangcontent>
<python>
## BPE
[[autodoc]] tokenizers.models.BPE
## Model
[[autodoc]] tokenizers.models.Model
## Unigram
[[autodoc]] tokenizers.models.Unigram
## WordLevel
[[autodoc]] tokenizers.models.WordLevel
## WordPiece
[[autodoc]] tokenizers.models.WordPiece
</python>
<rust>
The Rust A... | tokenizers/docs/source-doc-builder/api/models.mdx/0 | {
"file_path": "tokenizers/docs/source-doc-builder/api/models.mdx",
"repo_id": "tokenizers",
"token_count": 179
} | 267 |
Installation with npm
----------------------------------------------------------------------------------------------------
You can simply install 🤗 Tokenizers with npm using::
npm install tokenizers
| tokenizers/docs/source/installation/node.inc/0 | {
"file_path": "tokenizers/docs/source/installation/node.inc",
"repo_id": "tokenizers",
"token_count": 31
} | 268 |
#[macro_use]
extern crate criterion;
use criterion::{Criterion, Throughput};
use tokenizers::Tokenizer;
pub fn llama3(c: &mut Criterion) {
let data = std::fs::read_to_string("data/big.txt").unwrap();
let mut group = c.benchmark_group("llama3-encode");
group.throughput(Throughput::Bytes(data.bytes().len() ... | tokenizers/tokenizers/benches/llama3.rs/0 | {
"file_path": "tokenizers/tokenizers/benches/llama3.rs",
"repo_id": "tokenizers",
"token_count": 645
} | 269 |
// A dependency graph that contains any wasm must all be imported
// asynchronously. This `bootstrap.js` file does the single async import, so
// that no one else needs to worry about it again.
import("./index.js")
.catch(e => console.error("Error importing `index.js`:", e));
| tokenizers/tokenizers/examples/unstable_wasm/www/bootstrap.js/0 | {
"file_path": "tokenizers/tokenizers/examples/unstable_wasm/www/bootstrap.js",
"repo_id": "tokenizers",
"token_count": 79
} | 270 |
//! [Byte Pair Encoding](https://www.aclweb.org/anthology/P16-1162/) model.
use std::{iter, mem};
mod model;
mod serialization;
pub mod trainer;
mod word;
type Pair = (u32, u32);
/// Errors that can be encountered while using or constructing a `BPE` model.
#[derive(thiserror::Error, Debug)]
pub enum Error {
/// ... | tokenizers/tokenizers/src/models/bpe/mod.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/bpe/mod.rs",
"repo_id": "tokenizers",
"token_count": 893
} | 271 |
use super::{super::OrderedVocabIter, WordPiece, WordPieceBuilder};
use serde::{
de::{MapAccess, Visitor},
ser::SerializeStruct,
Deserialize, Deserializer, Serialize, Serializer,
};
use std::collections::HashSet;
impl Serialize for WordPiece {
fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Er... | tokenizers/tokenizers/src/models/wordpiece/serialization.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/wordpiece/serialization.rs",
"repo_id": "tokenizers",
"token_count": 2453
} | 272 |
pub mod bert;
pub mod byte_level;
pub mod delimiter;
pub mod digits;
pub mod metaspace;
pub mod punctuation;
pub mod sequence;
pub mod split;
pub mod unicode_scripts;
pub mod whitespace;
use serde::{Deserialize, Deserializer, Serialize};
use crate::pre_tokenizers::bert::BertPreTokenizer;
use crate::pre_tokenizers::by... | tokenizers/tokenizers/src/pre_tokenizers/mod.rs/0 | {
"file_path": "tokenizers/tokenizers/src/pre_tokenizers/mod.rs",
"repo_id": "tokenizers",
"token_count": 6537
} | 273 |
use crate::pattern::Pattern;
use crate::{Offsets, Result};
use std::ops::{Bound, RangeBounds};
use unicode_normalization_alignments::UnicodeNormalization;
use serde::{Deserialize, Serialize};
/// The possible offsets referential
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum OffsetReferential {
Original,
... | tokenizers/tokenizers/src/tokenizer/normalizer.rs/0 | {
"file_path": "tokenizers/tokenizers/src/tokenizer/normalizer.rs",
"repo_id": "tokenizers",
"token_count": 43220
} | 274 |
use std::collections::HashMap;
use std::iter::FromIterator;
use tokenizers::decoders::byte_fallback::ByteFallback;
use tokenizers::models::bpe::{BpeTrainerBuilder, BPE};
use tokenizers::normalizers::{Sequence, Strip, NFC};
use tokenizers::pre_tokenizers::byte_level::ByteLevel;
use tokenizers::{AddedToken, TokenizerBui... | tokenizers/tokenizers/tests/documentation.rs/0 | {
"file_path": "tokenizers/tokenizers/tests/documentation.rs",
"repo_id": "tokenizers",
"token_count": 8476
} | 275 |
{
"overrides": [
{
"files": ["tests/**/*.js"],
"options": {
"printWidth": 10000000
}
}
]
}
| transformers.js/.prettierrc/0 | {
"file_path": "transformers.js/.prettierrc",
"repo_id": "transformers.js",
"token_count": 108
} | 276 |
# Use custom models
<include>
{
"path": "../snippets/4_custom-usage.snippet"
}
</include> | transformers.js/docs/source/custom_usage.md/0 | {
"file_path": "transformers.js/docs/source/custom_usage.md",
"repo_id": "transformers.js",
"token_count": 40
} | 277 |
#root {
height: 100vh;
width: 100vw;
padding: 1rem;
}
| transformers.js/examples/cross-encoder/src/App.css/0 | {
"file_path": "transformers.js/examples/cross-encoder/src/App.css",
"repo_id": "transformers.js",
"token_count": 29
} | 278 |
import './style.css';
import * as THREE from 'three';
import { OrbitControls } from 'three/addons/controls/OrbitControls.js';
import { pipeline, env, RawImage } from '@xenova/transformers';
// Since we will download the model from the Hugging Face Hub, we can skip the local model check
env.allowLocalModels = false;
... | transformers.js/examples/depth-anything-client/main.js/0 | {
"file_path": "transformers.js/examples/depth-anything-client/main.js",
"repo_id": "transformers.js",
"token_count": 1584
} | 279 |
#root {
max-width: 960px;
height: 100vh;
margin: 0 auto;
text-align: center;
display: flex;
justify-content: center;
align-items: center;
}
| transformers.js/examples/musicgen-web/src/App.css/0 | {
"file_path": "transformers.js/examples/musicgen-web/src/App.css",
"repo_id": "transformers.js",
"token_count": 60
} | 280 |
* {
box-sizing: border-box;
padding: 0;
margin: 0;
font-family: sans-serif;
}
html,
body {
height: 100%;
}
body {
padding: 16px 32px;
}
body,
#container,
#upload-button {
display: flex;
flex-direction: column;
justify-content: center;
align-items: center;
}
h1,
h4 {
text-align: center;
}
h4 {... | transformers.js/examples/remove-background-client/style.css/0 | {
"file_path": "transformers.js/examples/remove-background-client/style.css",
"repo_id": "transformers.js",
"token_count": 422
} | 281 |
import { env, AutoTokenizer, ClapTextModelWithProjection } from '@xenova/transformers';
import { getCachedFile } from './utils';
// Skip local model check
env.allowLocalModels = false;
class ApplicationSingleton {
static model_id = 'Xenova/larger_clap_music_and_speech';
static BASE_URL = 'https://huggingface... | transformers.js/examples/semantic-audio-search/worker.js/0 | {
"file_path": "transformers.js/examples/semantic-audio-search/worker.js",
"repo_id": "transformers.js",
"token_count": 1294
} | 282 |
import './globals.css'
import { Inter } from 'next/font/google'
const inter = Inter({ subsets: ['latin'] })
export const metadata = {
title: 'In-browser Semantic Image Search',
description: 'Search for images using text (built w/ Transformers.js)',
}
export default function RootLayout({ children }) {
return (
... | transformers.js/examples/semantic-image-search-client/src/app/layout.js/0 | {
"file_path": "transformers.js/examples/semantic-image-search-client/src/app/layout.js",
"repo_id": "transformers.js",
"token_count": 139
} | 283 |
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Transformers.js - Text-to-speech demo</title>
</head>
<body>
<div id="root"></div>
<script type="module" src="/src/main.jsx"></script>
</body>
</ht... | transformers.js/examples/text-to-speech-client/index.html/0 | {
"file_path": "transformers.js/examples/text-to-speech-client/index.html",
"repo_id": "transformers.js",
"token_count": 136
} | 284 |
<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>The Tokenizer Playground</title>
</head>
<body>
<div id="root"></div>
<script type="module" src="/src/main.jsx"></script>
</body>
</html> | transformers.js/examples/tokenizer-playground/index.html/0 | {
"file_path": "transformers.js/examples/tokenizer-playground/index.html",
"repo_id": "transformers.js",
"token_count": 117
} | 285 |
export default function BotIcon(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"
stroke... | transformers.js/examples/webgpu-vlm/src/components/icons/BotIcon.jsx/0 | {
"file_path": "transformers.js/examples/webgpu-vlm/src/components/icons/BotIcon.jsx",
"repo_id": "transformers.js",
"token_count": 392
} | 286 |
import random
from typing import Optional, Tuple
from optimum.exporters.onnx.config import TextDecoderOnnxConfig
from optimum.utils import NormalizedTextConfig, DummyInputGenerator, DEFAULT_DUMMY_SHAPES, DummyTextInputGenerator, NormalizedConfig
class OpenElmDummyPastKeyValuesGenerator(DummyInputGenerator):
SUPP... | transformers.js/scripts/extra/openelm.py/0 | {
"file_path": "transformers.js/scripts/extra/openelm.py",
"repo_id": "transformers.js",
"token_count": 1129
} | 287 |
/**
* @module generation/logits_sampler
*/
import { Callable } from "../utils/generic.js";
import { Tensor, topk } from "../utils/tensor.js";
import {
max,
softmax,
} from '../utils/maths.js';
import { GenerationConfig } from '../generation/configuration_utils.js';
/**
* Sampler is a base class for all s... | transformers.js/src/generation/logits_sampler.js/0 | {
"file_path": "transformers.js/src/generation/logits_sampler.js",
"repo_id": "transformers.js",
"token_count": 2735
} | 288 |
import {
ImageProcessor,
post_process_object_detection,
post_process_panoptic_segmentation,
post_process_instance_segmentation,
} from "../../base/image_processors_utils.js";
import { full } from '../../utils/tensor.js';
/**
* @typedef {object} DetrFeatureExtractorResultProps
* @property {import('... | transformers.js/src/models/detr/image_processing_detr.js/0 | {
"file_path": "transformers.js/src/models/detr/image_processing_detr.js",
"repo_id": "transformers.js",
"token_count": 711
} | 289 |
import {
ImageProcessor,
} from "../../base/image_processors_utils.js";
export class LlavaOnevisionImageProcessor extends ImageProcessor {}
| transformers.js/src/models/llava_onevision/image_processing_llava_onevision.js/0 | {
"file_path": "transformers.js/src/models/llava_onevision/image_processing_llava_onevision.js",
"repo_id": "transformers.js",
"token_count": 45
} | 290 |
import {
ImageProcessor,
} from "../../base/image_processors_utils.js";
import { cat, interpolate_4d, slice, stack, Tensor } from "../../utils/tensor.js";
const IMAGE_SIZE = 336;
const SLICE_AXES = [2, 3]; // axes to slice on
const { ceil, floor, sqrt } = Math;
export class Phi3VImageProcessor extends ImageProces... | transformers.js/src/models/phi3_v/image_processing_phi3_v.js/0 | {
"file_path": "transformers.js/src/models/phi3_v/image_processing_phi3_v.js",
"repo_id": "transformers.js",
"token_count": 3116
} | 291 |
import { Processor } from "../../base/processing_utils.js";
import { AutoTokenizer } from "../../tokenizers.js";
import { AutoFeatureExtractor } from "../auto/feature_extraction_auto.js";
export class SpeechT5Processor extends Processor {
static tokenizer_class = AutoTokenizer
static feature_extractor_class = ... | transformers.js/src/models/speecht5/processing_speecht5.js/0 | {
"file_path": "transformers.js/src/models/speecht5/processing_speecht5.js",
"repo_id": "transformers.js",
"token_count": 206
} | 292 |
/**
* @file Tokenizers are used to prepare textual inputs for a model.
*
* **Example:** Create an `AutoTokenizer` and use it to tokenize a sentence.
* This will automatically detect the tokenizer type based on the tokenizer class defined in `tokenizer.json`.
* ```javascript
* import { AutoTokenizer } from '@hug... | transformers.js/src/tokenizers.js/0 | {
"file_path": "transformers.js/src/tokenizers.js",
"repo_id": "transformers.js",
"token_count": 70688
} | 293 |
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
} | 294 |
import { AutoImageProcessor, Qwen2VLImageProcessor } 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 () => {
// Qwen2VLImageProcessor
// - custom image processing (min_pi... | transformers.js/tests/models/qwen2_vl/test_image_processing_qwen2_vl.js/0 | {
"file_path": "transformers.js/tests/models/qwen2_vl/test_image_processing_qwen2_vl.js",
"repo_id": "transformers.js",
"token_count": 515
} | 295 |
import { Wav2Vec2CTCTokenizer } from "../../../src/tokenizers.js";
import { BASE_TEST_STRINGS, BERT_TEST_STRINGS } from "../test_strings.js";
export const TOKENIZER_CLASS = Wav2Vec2CTCTokenizer;
export const TEST_CONFIG = {
"Xenova/wav2vec2-base-960h": {
SIMPLE: {
text: BASE_TEST_STRINGS.SIMPLE,
toke... | transformers.js/tests/models/wav2vec2/test_tokenization_wav2vec2.js/0 | {
"file_path": "transformers.js/tests/models/wav2vec2/test_tokenization_wav2vec2.js",
"repo_id": "transformers.js",
"token_count": 15864
} | 296 |
import { pipeline, ImageSegmentationPipeline } 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-segmentation";
export default ()... | transformers.js/tests/pipelines/test_pipelines_image_segmentation.js/0 | {
"file_path": "transformers.js/tests/pipelines/test_pipelines_image_segmentation.js",
"repo_id": "transformers.js",
"token_count": 1834
} | 297 |
import { init } from "./init.js";
import { collect_and_execute_tests } from "./test_utils.js";
init();
await collect_and_execute_tests("Processors", "processor");
| transformers.js/tests/processors.test.js/0 | {
"file_path": "transformers.js/tests/processors.test.js",
"repo_id": "transformers.js",
"token_count": 53
} | 298 |
# 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/.circleci/create_circleci_config.py/0 | {
"file_path": "transformers/.circleci/create_circleci_config.py",
"repo_id": "transformers",
"token_count": 6948
} | 299 |
<!---
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/ISSUES.md/0 | {
"file_path": "transformers/ISSUES.md",
"repo_id": "transformers",
"token_count": 4684
} | 300 |
import argparse
import subprocess
def main(config_dir, config_name, args):
subprocess.run(["optimum-benchmark", "--config-dir", f"{config_dir}", "--config-name", f"{config_name}"] + ["hydra/job_logging=disabled", "hydra/hydra_logging=disabled"] + args)
if __name__ == "__main__":
parser = argparse.ArgumentPa... | transformers/benchmark/optimum_benchmark_wrapper.py/0 | {
"file_path": "transformers/benchmark/optimum_benchmark_wrapper.py",
"repo_id": "transformers",
"token_count": 216
} | 301 |
FROM python:3.9-slim
ENV PYTHONDONTWRITEBYTECODE=1
ARG REF=main
RUN echo ${REF}
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 ... | transformers/docker/torch-tf-light.dockerfile/0 | {
"file_path": "transformers/docker/torch-tf-light.dockerfile",
"repo_id": "transformers",
"token_count": 386
} | 302 |
<!---
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/README.md/0 | {
"file_path": "transformers/docs/README.md",
"repo_id": "transformers",
"token_count": 4825
} | 303 |
# GGUF وتفاعلها مع المحولات
تُستخدم صيغة ملف GGUF لتخزين النماذج للاستدلال باستخدام [GGML](https://github.com/ggerganov/ggml) والمكتبات الأخرى التي تعتمد عليه، مثل [llama.cpp](https://github.com/ggerganov/llama.cpp) أو [whisper.cpp](https://github.com/ggerganov/whisper.cpp) الشهيرة جدًا.
إنها صيغة ملف [مدعومة من قبل ... | transformers/docs/source/ar/gguf.md/0 | {
"file_path": "transformers/docs/source/ar/gguf.md",
"repo_id": "transformers",
"token_count": 2249
} | 304 |
# الفلسفة
تُعد 🤗 Transformers مكتبة برمجية ذات رؤية واضحة صُممت من أجل:
- الباحثون والمُتعلّمون في مجال التعلم الآلي ممن يسعون لاستخدام أو دراسة أو تطوير نماذج Transformers واسعة النطاق.
- مُطبّقي تعلم الآلة الذين يرغبون في ضبط تلك النماذج أو تشغيلها في بيئة إنتاجية، أو كليهما.
- المهندسون الذين يريدون فقط تنزيل نمو... | transformers/docs/source/ar/philosophy.md/0 | {
"file_path": "transformers/docs/source/ar/philosophy.md",
"repo_id": "transformers",
"token_count": 4397
} | 305 |
<!--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
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Unless required by applicable law or agreed... | transformers/docs/source/ar/tasks/translation.md/0 | {
"file_path": "transformers/docs/source/ar/tasks/translation.md",
"repo_id": "transformers",
"token_count": 8915
} | 306 |
<!--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
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Unless required by applicable law or agreed... | transformers/docs/source/en/accelerate.md/0 | {
"file_path": "transformers/docs/source/en/accelerate.md",
"repo_id": "transformers",
"token_count": 1516
} | 307 |
<!--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/create_a_model.md/0 | {
"file_path": "transformers/docs/source/en/create_a_model.md",
"repo_id": "transformers",
"token_count": 5804
} | 308 |
<!--Copyright (c) Meta Platforms, Inc. and affiliates.
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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Unless required by applicable... | transformers/docs/source/en/main_classes/executorch.md/0 | {
"file_path": "transformers/docs/source/en/main_classes/executorch.md",
"repo_id": "transformers",
"token_count": 500
} | 309 |
<!--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": 1682
} | 310 |
<!--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/ctrl.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/ctrl.md",
"repo_id": "transformers",
"token_count": 1209
} | 311 |
<!--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/detr.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/detr.md",
"repo_id": "transformers",
"token_count": 4274
} | 312 |
<!--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/encoder-decoder.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/encoder-decoder.md",
"repo_id": "transformers",
"token_count": 2664
} | 313 |
<!--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/en/model_doc/fuyu.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/fuyu.md",
"repo_id": "transformers",
"token_count": 1652
} | 314 |
<!--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/model_doc/llama3.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/llama3.md",
"repo_id": "transformers",
"token_count": 1705
} | 315 |
<!--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/mobilenet_v2.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/mobilenet_v2.md",
"repo_id": "transformers",
"token_count": 1747
} | 316 |
<!--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/nezha.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/nezha.md",
"repo_id": "transformers",
"token_count": 996
} | 317 |
<!--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/en/model_doc/pvt.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/pvt.md",
"repo_id": "transformers",
"token_count": 1047
} | 318 |
<!--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/roberta-prelayernorm.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/roberta-prelayernorm.md",
"repo_id": "transformers",
"token_count": 1519
} | 319 |
<!--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/smolvlm.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/smolvlm.md",
"repo_id": "transformers",
"token_count": 2060
} | 320 |
<!--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/t5.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/t5.md",
"repo_id": "transformers",
"token_count": 7103
} | 321 |
<!--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/vit_msn.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/vit_msn.md",
"repo_id": "transformers",
"token_count": 2134
} | 322 |
<!--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/xlm-roberta.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/xlm-roberta.md",
"repo_id": "transformers",
"token_count": 3907
} | 323 |
<!--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/multilingual.md/0 | {
"file_path": "transformers/docs/source/en/multilingual.md",
"repo_id": "transformers",
"token_count": 2588
} | 324 |
<!--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/perplexity.md/0 | {
"file_path": "transformers/docs/source/en/perplexity.md",
"repo_id": "transformers",
"token_count": 2464
} | 325 |
<!--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/higgs.md/0 | {
"file_path": "transformers/docs/source/en/quantization/higgs.md",
"repo_id": "transformers",
"token_count": 1149
} | 326 |
<!--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/en/tasks/idefics.md/0 | {
"file_path": "transformers/docs/source/en/tasks/idefics.md",
"repo_id": "transformers",
"token_count": 6916
} | 327 |
<!--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/tasks/semantic_segmentation.md/0 | {
"file_path": "transformers/docs/source/en/tasks/semantic_segmentation.md",
"repo_id": "transformers",
"token_count": 12052
} | 328 |
<!--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/tokenizer_summary.md/0 | {
"file_path": "transformers/docs/source/en/tokenizer_summary.md",
"repo_id": "transformers",
"token_count": 4940
} | 329 |
<!--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/es/custom_models.md/0 | {
"file_path": "transformers/docs/source/es/custom_models.md",
"repo_id": "transformers",
"token_count": 5985
} | 330 |
<!--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/es/preprocessing.md/0 | {
"file_path": "transformers/docs/source/es/preprocessing.md",
"repo_id": "transformers",
"token_count": 13019
} | 331 |
<!--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/es/trainer.md/0 | {
"file_path": "transformers/docs/source/es/trainer.md",
"repo_id": "transformers",
"token_count": 7091
} | 332 |
<!--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/hi/tflite.md/0 | {
"file_path": "transformers/docs/source/hi/tflite.md",
"repo_id": "transformers",
"token_count": 2416
} | 333 |
<!--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/it/model_sharing.md/0 | {
"file_path": "transformers/docs/source/it/model_sharing.md",
"repo_id": "transformers",
"token_count": 4024
} | 334 |
<!--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/it/serialization.md/0 | {
"file_path": "transformers/docs/source/it/serialization.md",
"repo_id": "transformers",
"token_count": 10324
} | 335 |
<!--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/ja/glossary.md/0 | {
"file_path": "transformers/docs/source/ja/glossary.md",
"repo_id": "transformers",
"token_count": 12796
} | 336 |
<!--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/main_classes/trainer.md/0 | {
"file_path": "transformers/docs/source/ja/main_classes/trainer.md",
"repo_id": "transformers",
"token_count": 19578
} | 337 |
<!--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/ja/model_doc/big_bird.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/big_bird.md",
"repo_id": "transformers",
"token_count": 2762
} | 338 |
<!--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/ja/model_doc/clap.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/clap.md",
"repo_id": "transformers",
"token_count": 1775
} | 339 |
<!--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.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/deberta.md",
"repo_id": "transformers",
"token_count": 3598
} | 340 |
<!--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/ja/perf_infer_cpu.md/0 | {
"file_path": "transformers/docs/source/ja/perf_infer_cpu.md",
"repo_id": "transformers",
"token_count": 1977
} | 341 |
<!--⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
rendered properly in your Markdown viewer.
-->
# Webサーバー用のパイプラインの使用
<Tip>
推論エンジンの作成は複雑なトピックであり、"最適な"ソリューションはおそらく問題の領域に依存するでしょう。CPUまたはGPUを使用していますか？最低のレイテンシ、最高のスループット、多くのモデルのサポート、または特定のモデルの高度な最適化を望... | transformers/docs/source/ja/pipeline_webserver.md/0 | {
"file_path": "transformers/docs/source/ja/pipeline_webserver.md",
"repo_id": "transformers",
"token_count": 3402
} | 342 |
<!--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/ja/tasks/masked_language_modeling.md/0 | {
"file_path": "transformers/docs/source/ja/tasks/masked_language_modeling.md",
"repo_id": "transformers",
"token_count": 7720
} | 343 |
<!--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/ja/tasks_explained.md/0 | {
"file_path": "transformers/docs/source/ja/tasks_explained.md",
"repo_id": "transformers",
"token_count": 16553
} | 344 |
<!--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/bertology.md/0 | {
"file_path": "transformers/docs/source/ko/bertology.md",
"repo_id": "transformers",
"token_count": 1557
} | 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 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": 2134
} | 346 |
<!--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/model_doc/esm.md/0 | {
"file_path": "transformers/docs/source/ko/model_doc/esm.md",
"repo_id": "transformers",
"token_count": 5246
} | 347 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ko/model_doc/patchtst.md/0 | {
"file_path": "transformers/docs/source/ko/model_doc/patchtst.md",
"repo_id": "transformers",
"token_count": 2697
} | 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... | transformers/docs/source/ko/pad_truncation.md/0 | {
"file_path": "transformers/docs/source/ko/pad_truncation.md",
"repo_id": "transformers",
"token_count": 5964
} | 349 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ko/preprocessing.md/0 | {
"file_path": "transformers/docs/source/ko/preprocessing.md",
"repo_id": "transformers",
"token_count": 17108
} | 350 |
<!--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
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<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ko/tasks/translation.md/0 | {
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<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/pt/tasks/token_classification.md/0 | {
"file_path": "transformers/docs/source/pt/tasks/token_classification.md",
"repo_id": "transformers",
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