text stringlengths 5 631k | id stringlengths 14 178 | metadata dict | __index_level_0__ int64 0 647 |
|---|---|---|---|
# flake8: noqa
import gzip
import os
import datasets
import pytest
from ..utils import data_dir, train_files
class TestTrainFromIterators:
@staticmethod
def get_tokenizer_trainer():
# START init_tokenizer_trainer
from tokenizers import Tokenizer, decoders, models, normalizers, pre_tokenizers... | tokenizers/bindings/python/tests/documentation/test_tutorial_train_from_iterators.py/0 | {
"file_path": "tokenizers/bindings/python/tests/documentation/test_tutorial_train_from_iterators.py",
"repo_id": "tokenizers",
"token_count": 1595
} | 293 |
# Input Sequences
<tokenizerslangcontent>
<python>
These types represent all the different kinds of sequence that can be used as input of a Tokenizer.
Globally, any sequence can be either a string or a list of strings, according to the operating
mode of the tokenizer: `raw text` vs `pre-tokenized`.
## TextInputSequen... | tokenizers/docs/source-doc-builder/api/input-sequences.mdx/0 | {
"file_path": "tokenizers/docs/source-doc-builder/api/input-sequences.mdx",
"repo_id": "tokenizers",
"token_count": 402
} | 294 |
import re
from sphinx.directives.other import TocTree
class TocTreeTags(TocTree):
hasPat = re.compile("^\s*:(.+):(.+)$")
def filter_entries(self, entries):
filtered = []
for e in entries:
m = self.hasPat.match(e)
if m != None:
if self.env.app.tags.has(m... | tokenizers/docs/source/_ext/toctree_tags.py/0 | {
"file_path": "tokenizers/docs/source/_ext/toctree_tags.py",
"repo_id": "tokenizers",
"token_count": 345
} | 295 |
#[macro_use]
extern crate criterion;
use std::fs::File;
use std::io::{BufRead, BufReader};
use std::path::Path;
use std::time::{Duration, Instant};
use criterion::Criterion;
use std::hint::black_box;
use tokenizers::processors::template::TemplateProcessing;
use tokenizers::{EncodeInput, Encoding, PostProcessor, Token... | tokenizers/tokenizers/benches/layout_benchmark.rs/0 | {
"file_path": "tokenizers/tokenizers/benches/layout_benchmark.rs",
"repo_id": "tokenizers",
"token_count": 1161
} | 296 |
<div align="center">
<h1><code>create-wasm-app</code></h1>
<strong>An <code>npm init</code> template for kick starting a project that uses NPM packages containing Rust-generated WebAssembly and bundles them with Webpack.</strong>
<p>
<a href="https://travis-ci.org/rustwasm/create-wasm-app"><img src="https:... | tokenizers/tokenizers/examples/unstable_wasm/www/README.md/0 | {
"file_path": "tokenizers/tokenizers/examples/unstable_wasm/www/README.md",
"repo_id": "tokenizers",
"token_count": 893
} | 297 |
//! [WordPiece](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37842.pdf)
//! model.
use crate::models::bpe::BPE;
use crate::tokenizer::{Model, Result, Token};
use ahash::AHashMap;
use std::collections::HashMap;
use std::{
borrow::Cow,
fs::File,
io::prelude::*,
io::{Buf... | tokenizers/tokenizers/src/models/wordpiece/mod.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/wordpiece/mod.rs",
"repo_id": "tokenizers",
"token_count": 4756
} | 298 |
use crate::normalizer::Range;
use crate::tokenizer::{PreTokenizedString, PreTokenizer, Result};
use serde::{Deserialize, Serialize};
use crate::utils::macro_rules_attribute;
#[derive(Clone, Debug, PartialEq, Eq)]
#[macro_rules_attribute(impl_serde_type!)]
pub struct FixedLength {
#[serde(default = "default_length... | tokenizers/tokenizers/src/pre_tokenizers/fixed_length.rs/0 | {
"file_path": "tokenizers/tokenizers/src/pre_tokenizers/fixed_length.rs",
"repo_id": "tokenizers",
"token_count": 2007
} | 299 |
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
} | 300 |
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
} | 301 |
# Building a React application
In this tutorial, we'll be building a simple React application that performs multilingual translation using Transformers.js! The final product will look something like this:
Use... | transformers.js/docs/source/tutorials/react.md/0 | {
"file_path": "transformers.js/docs/source/tutorials/react.md",
"repo_id": "transformers.js",
"token_count": 5891
} | 302 |
@font-face {
font-family: "bootstrap-icons";
src: url("./bootstrap-icons.woff2") format("woff2"),
url("./bootstrap-icons.woff") format("woff");
}
.bi::before,
[class^="bi-"]::before,
[class*=" bi-"]::before {
display: inline-block;
font-family: bootstrap-icons !important;
font-style: normal;
font-we... | transformers.js/examples/demo-site/public/css/bootstrap-icons.css/0 | {
"file_path": "transformers.js/examples/demo-site/public/css/bootstrap-icons.css",
"repo_id": "transformers.js",
"token_count": 29385
} | 303 |
/////////////////////////////////////////////////////////////////
// Worker.js file for doing all transformer-based computations //
// Needed to ensure the UI thread is not blocked when running //
/////////////////////////////////////////////////////////////////
import { pipeline, env } from "@xenova/transformers";
... | transformers.js/examples/demo-site/src/worker.js/0 | {
"file_path": "transformers.js/examples/demo-site/src/worker.js",
"repo_id": "transformers.js",
"token_count": 6373
} | 304 |
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8" />
<title>Transformers.js | Sample Electron application</title>
<!-- Load styles -->
<link rel="stylesheet" href="index.css" />
<!-- Load the client script -->
<script src="./client.js" defer></script>
</head>
<body>
<div class="contain... | transformers.js/examples/electron/src/index.html/0 | {
"file_path": "transformers.js/examples/electron/src/index.html",
"repo_id": "transformers.js",
"token_count": 220
} | 305 |
/** @type {import('next').NextConfig} */
const nextConfig = {
// (Optional) Export as a standalone site
// See https://nextjs.org/docs/pages/api-reference/next-config-js/output#automatically-copying-traced-files
output: 'standalone', // Feel free to modify/remove this option
// Indicate that these ... | transformers.js/examples/next-server/next.config.js/0 | {
"file_path": "transformers.js/examples/next-server/next.config.js",
"repo_id": "transformers.js",
"token_count": 164
} | 306 |
{
"name": "commonjs",
"version": "1.0.0",
"description": "Server-side inference with Transformers.js (CommonJS)",
"main": "app.js",
"keywords": [],
"author": "Xenova",
"license": "ISC",
"dependencies": {
"@xenova/transformers": "^2.0.0"
}
}
| transformers.js/examples/node/commonjs/package.json/0 | {
"file_path": "transformers.js/examples/node/commonjs/package.json",
"repo_id": "transformers.js",
"token_count": 109
} | 307 |
{
"name": "semantic-audio-search",
"version": "0.0.0",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "semantic-audio-search",
"version": "0.0.0",
"dependencies": {
"@xenova/transformers": "^2.10.1",
"deepscatter": "github:nomic-ai/deepscatter"
... | transformers.js/examples/semantic-audio-search/package-lock.json/0 | {
"file_path": "transformers.js/examples/semantic-audio-search/package-lock.json",
"repo_id": "transformers.js",
"token_count": 46220
} | 308 |
'use client'
import Image from 'next/image'
import { downloadImage } from '../utils.js'
export function Modal({ currentImage, setCurrentImage }) {
const photo_url = currentImage ? `https://unsplash.com/photos/${currentImage.id}` : null;
const photo_image_url = currentImage ? `https://images.unsplash.com/${cur... | transformers.js/examples/semantic-image-search-client/src/app/components/Modal.jsx/0 | {
"file_path": "transformers.js/examples/semantic-image-search-client/src/app/components/Modal.jsx",
"repo_id": "transformers.js",
"token_count": 2014
} | 309 |
# Vanilla JS Application
This folder contains the source code for a simple web application that detects objects in images using Transformers.js! Check out the demo [here](https://huggingface.co/spaces/Scrimba/vanilla-js-object-detector).
If you'd like to build it yourself, you can follow the [written](https://hugging... | transformers.js/examples/vanilla-js/README.md/0 | {
"file_path": "transformers.js/examples/vanilla-js/README.md",
"repo_id": "transformers.js",
"token_count": 237
} | 310 |
<!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 CLIP</title>
</head>
<body>
<h1>
Real-time zero-shot image classification (WebGPU)
</h1>
<h3>
Runs locally in your browser w/... | transformers.js/examples/webgpu-clip/index.html/0 | {
"file_path": "transformers.js/examples/webgpu-clip/index.html",
"repo_id": "transformers.js",
"token_count": 417
} | 311 |
# TODO: Enable once https://github.com/huggingface/optimum/pull/1552 is merged
# # Support exporting vision and text models separately:
# # Adapted from https://github.com/huggingface/optimum/issues/1186#issuecomment-1637641760
# from optimum.exporters.onnx.model_configs import CLAPTextWithProjectionOnnxConfig, Audio... | transformers.js/scripts/extra/clap.py/0 | {
"file_path": "transformers.js/scripts/extra/clap.py",
"repo_id": "transformers.js",
"token_count": 684
} | 312 |
import { Callable } from "../utils/generic.js";
import { Tensor, interpolate, stack } from "../utils/tensor.js";
import { bankers_round, max, min, softmax } from "../utils/maths.js";
import { RawImage } from "../utils/image.js";
import { calculateReflectOffset } from "../utils/core.js";
import { getModelJSON } from "..... | transformers.js/src/base/image_processors_utils.js/0 | {
"file_path": "transformers.js/src/base/image_processors_utils.js",
"repo_id": "transformers.js",
"token_count": 18547
} | 313 |
import {
ImageProcessor,
} from "../../base/image_processors_utils.js";
export class BitImageProcessor extends ImageProcessor { }
| transformers.js/src/models/bit/image_processing_bit.js/0 | {
"file_path": "transformers.js/src/models/bit/image_processing_bit.js",
"repo_id": "transformers.js",
"token_count": 43
} | 314 |
import { Processor } from "../../base/processing_utils.js";
import { AutoImageProcessor } from "../auto/image_processing_auto.js";
import { AutoFeatureExtractor } from "../auto/feature_extraction_auto.js";
import { AutoTokenizer } from "../../tokenizers.js";
import { RawImage } from "../../utils/image.js";
import { Ra... | transformers.js/src/models/gemma3n/processing_gemma3n.js/0 | {
"file_path": "transformers.js/src/models/gemma3n/processing_gemma3n.js",
"repo_id": "transformers.js",
"token_count": 1150
} | 315 |
import { FeatureExtractor, validate_audio_inputs } from '../../base/feature_extraction_utils.js';
import { Tensor } from '../../utils/tensor.js';
import { max, softmax } from '../../utils/maths.js';
export class PyAnnoteFeatureExtractor extends FeatureExtractor {
/**
* Asynchronously extracts features from a... | transformers.js/src/models/pyannote/feature_extraction_pyannote.js/0 | {
"file_path": "transformers.js/src/models/pyannote/feature_extraction_pyannote.js",
"repo_id": "transformers.js",
"token_count": 1478
} | 316 |
import {
ImageProcessor,
} from "../../base/image_processors_utils.js";
export class Swin2SRImageProcessor extends ImageProcessor {
pad_image(pixelData, imgDims, padSize, options = {}) {
// NOTE: In this case, `padSize` represents the size of the sliding window for the local attention.
// In o... | transformers.js/src/models/swin2sr/image_processing_swin2sr.js/0 | {
"file_path": "transformers.js/src/models/swin2sr/image_processing_swin2sr.js",
"repo_id": "transformers.js",
"token_count": 462
} | 317 |
/**
* @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 outp... | transformers.js/src/pipelines.js/0 | {
"file_path": "transformers.js/src/pipelines.js",
"repo_id": "transformers.js",
"token_count": 57285
} | 318 |
import { spawnSync } from "child_process";
const MODULE_NAME = "@huggingface/transformers";
const CODE_BODY = `
const model_id = "hf-internal-testing/tiny-random-LlamaForCausalLM";
const generator = await pipeline("text-generation", model_id, { dtype: "fp32" });
const result = await generator("hello", { max_new_token... | transformers.js/tests/bundles.test.js/0 | {
"file_path": "transformers.js/tests/bundles.test.js",
"repo_id": "transformers.js",
"token_count": 498
} | 319 |
import { AutoFeatureExtractor, ClapFeatureExtractor } from "../../../src/transformers.js";
import { load_cached_audio } from "../../asset_cache.js";
import { MAX_FEATURE_EXTRACTOR_LOAD_TIME, MAX_TEST_EXECUTION_TIME } from "../../init.js";
export default () => {
// ClapFeatureExtractor
describe("ClapFeatureExtract... | transformers.js/tests/models/clap/test_feature_extraction_clap.js/0 | {
"file_path": "transformers.js/tests/models/clap/test_feature_extraction_clap.js",
"repo_id": "transformers.js",
"token_count": 1203
} | 320 |
import { FalconTokenizer } from "../../../src/tokenizers.js";
import { BASE_TEST_STRINGS, FALCON_TEST_STRINGS } from "../test_strings.js";
export const TOKENIZER_CLASS = FalconTokenizer;
export const TEST_CONFIG = {
"tiiuae/falcon-7b": {
SIMPLE: {
text: BASE_TEST_STRINGS.SIMPLE,
tokens: ["How", "\u01... | transformers.js/tests/models/falcon/test_tokenization_falcon.js/0 | {
"file_path": "transformers.js/tests/models/falcon/test_tokenization_falcon.js",
"repo_id": "transformers.js",
"token_count": 6152
} | 321 |
import { AutoProcessor, full, GroundingDinoProcessor } 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 () => {
const model_id = "hf-internal-testing/tiny-random-GroundingDi... | transformers.js/tests/models/grounding_dino/test_processor_grounding_dino.js/0 | {
"file_path": "transformers.js/tests/models/grounding_dino/test_processor_grounding_dino.js",
"repo_id": "transformers.js",
"token_count": 821
} | 322 |
import { LlamaTokenizer, MistralForCausalLM } 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("MistralForCausalLM", () => {
const model_id = "hf-internal-testing/tiny... | transformers.js/tests/models/mistral/test_modeling_mistral.js/0 | {
"file_path": "transformers.js/tests/models/mistral/test_modeling_mistral.js",
"repo_id": "transformers.js",
"token_count": 768
} | 323 |
import { PatchTSMixerModel, PatchTSMixerForPrediction, Tensor } 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 dims = [64, 512, 7];
const prod = dims.reduce((a, b) => a *... | transformers.js/tests/models/patchtsmixer/test_modeling_patchtsmixer.js/0 | {
"file_path": "transformers.js/tests/models/patchtsmixer/test_modeling_patchtsmixer.js",
"repo_id": "transformers.js",
"token_count": 887
} | 324 |
import { pipeline, BackgroundRemovalPipeline, RawImage } 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 = "background-removal";
export ... | transformers.js/tests/pipelines/test_pipelines_background_removal.js/0 | {
"file_path": "transformers.js/tests/pipelines/test_pipelines_background_removal.js",
"repo_id": "transformers.js",
"token_count": 1023
} | 325 |
import { pipeline, TextToAudioPipeline } from "../../src/transformers.js";
import { MAX_MODEL_LOAD_TIME, MAX_TEST_EXECUTION_TIME, MAX_MODEL_DISPOSE_TIME, DEFAULT_MODEL_OPTIONS } from "../init.js";
const PIPELINE_ID = "text-to-audio";
export default () => {
describe("Text to Audio", () => {
const model_id = "Xe... | transformers.js/tests/pipelines/test_pipelines_text_to_audio.js/0 | {
"file_path": "transformers.js/tests/pipelines/test_pipelines_text_to_audio.js",
"repo_id": "transformers.js",
"token_count": 492
} | 326 |
import { Tensor, cat, stack, layer_norm, ones_like, zeros_like, full_like, rand, std_mean } from "../../src/transformers.js";
import { init } from "../init.js";
import { compare } from "../test_utils.js";
init();
describe("Tensor operations", () => {
describe("cat", () => {
it("should concatenate on dim=0", () ... | transformers.js/tests/utils/tensor.test.js/0 | {
"file_path": "transformers.js/tests/utils/tensor.test.js",
"repo_id": "transformers.js",
"token_count": 10111
} | 327 |
# 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": 5439
} | 328 |
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
ENV UV_PYTHON=/usr/local/bin/python
RUN pip --no-cache-dir install uv && uv pip install --no-cache-dir -U pip setuptools
RUN uv pip install --no-cache-dir "scip... | transformers/docker/jax-light.dockerfile/0 | {
"file_path": "transformers/docker/jax-light.dockerfile",
"repo_id": "transformers",
"token_count": 224
} | 329 |
FROM nvidia/cuda:12.6.0-cudnn-devel-ubuntu22.04
LABEL maintainer="Hugging Face"
ARG DEBIAN_FRONTEND=noninteractive
RUN apt update
RUN apt install -y git libsndfile1-dev tesseract-ocr espeak-ng python3 python3-pip ffmpeg
RUN python3 -m pip install --no-cache-dir --upgrade pip
ARG REF=main
RUN git clone https://github... | transformers/docker/transformers-pytorch-gpu/Dockerfile/0 | {
"file_path": "transformers/docker/transformers-pytorch-gpu/Dockerfile",
"repo_id": "transformers",
"token_count": 684
} | 330 |
# 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
} | 331 |
<!--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": 9379
} | 332 |
<!--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/run_scripts.md/0 | {
"file_path": "transformers/docs/source/de/run_scripts.md",
"repo_id": "transformers",
"token_count": 7505
} | 333 |
<!--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/chat_templating.md/0 | {
"file_path": "transformers/docs/source/en/chat_templating.md",
"repo_id": "transformers",
"token_count": 3572
} | 334 |
<!--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/gguf.md/0 | {
"file_path": "transformers/docs/source/en/gguf.md",
"repo_id": "transformers",
"token_count": 892
} | 335 |
<!--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/logging.md/0 | {
"file_path": "transformers/docs/source/en/main_classes/logging.md",
"repo_id": "transformers",
"token_count": 1276
} | 336 |
<!--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/altclip.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/altclip.md",
"repo_id": "transformers",
"token_count": 1522
} | 337 |
<!--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/bertweet.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/bertweet.md",
"repo_id": "transformers",
"token_count": 1111
} | 338 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
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Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/canine.md/0 | {
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"token_count": 1325
} | 339 |
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"file_path": "transformers/docs/source/en/model_doc/convnext.md",
"repo_id": "transformers",
"token_count": 1191
} | 340 |
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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": 1074
} | 341 |
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"file_path": "transformers/docs/source/en/model_doc/flava.md",
"repo_id": "transformers",
"token_count": 1040
} | 342 |
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"file_path": "transformers/docs/source/en/model_doc/glm4v_moe.md",
"repo_id": "transformers",
"token_count": 1047
} | 343 |
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Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/granitemoeshared.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/granitemoeshared.md",
"repo_id": "transformers",
"token_count": 745
} | 344 |
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the License. You may obtain a copy of the License at
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"file_path": "transformers/docs/source/en/model_doc/ijepa.md",
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"token_count": 1806
} | 345 |
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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/en/model_doc/layoutxlm.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/layoutxlm.md",
"repo_id": "transformers",
"token_count": 1077
} | 346 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
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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/en/model_doc/luke.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/luke.md",
"repo_id": "transformers",
"token_count": 2616
} | 347 |
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
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Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/metaclip_2.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/metaclip_2.md",
"repo_id": "transformers",
"token_count": 1535
} | 348 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
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"file_path": "transformers/docs/source/en/model_doc/nllb-moe.md",
"repo_id": "transformers",
"token_count": 2095
} | 349 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
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Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/pop2piano.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/pop2piano.md",
"repo_id": "transformers",
"token_count": 2622
} | 350 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
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"file_path": "transformers/docs/source/en/model_doc/unispeech.md",
"repo_id": "transformers",
"token_count": 1122
} | 351 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
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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/en/model_doc/xlm-roberta-xl.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/xlm-roberta-xl.md",
"repo_id": "transformers",
"token_count": 1850
} | 352 |
<!--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
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Unless required by applicable law or agreed... | transformers/docs/source/en/models.md/0 | {
"file_path": "transformers/docs/source/en/models.md",
"repo_id": "transformers",
"token_count": 4285
} | 353 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
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the License. You may obtain a copy of the License at
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"file_path": "transformers/docs/source/en/perf_train_gpu_one.md",
"repo_id": "transformers",
"token_count": 4509
} | 354 |
<!--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
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Unless required by applicable law or agreed... | transformers/docs/source/en/quicktour.md/0 | {
"file_path": "transformers/docs/source/en/quicktour.md",
"repo_id": "transformers",
"token_count": 4226
} | 355 |
<!--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/language_modeling.md/0 | {
"file_path": "transformers/docs/source/en/tasks/language_modeling.md",
"repo_id": "transformers",
"token_count": 5554
} | 356 |
<!--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/tasks/visual_document_retrieval.md/0 | {
"file_path": "transformers/docs/source/en/tasks/visual_document_retrieval.md",
"repo_id": "transformers",
"token_count": 2006
} | 357 |
- sections:
- local: index
title: 🤗 Transformers
- local: quicktour
title: Tour rápido
- local: installation
title: Instalación
title: Empezar
- sections:
- local: pipeline_tutorial
title: Pipelines para inferencia
- local: autoclass_tutorial
title: Carga instancias preentrenadas con un... | transformers/docs/source/es/_toctree.yml/0 | {
"file_path": "transformers/docs/source/es/_toctree.yml",
"repo_id": "transformers",
"token_count": 1230
} | 358 |
<!---
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 ... | transformers/docs/source/es/model_memory_anatomy.md/0 | {
"file_path": "transformers/docs/source/es/model_memory_anatomy.md",
"repo_id": "transformers",
"token_count": 4605
} | 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/es/tasks/asr.md/0 | {
"file_path": "transformers/docs/source/es/tasks/asr.md",
"repo_id": "transformers",
"token_count": 6031
} | 360 |
<!--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/add_new_pipeline.md/0 | {
"file_path": "transformers/docs/source/it/add_new_pipeline.md",
"repo_id": "transformers",
"token_count": 4072
} | 361 |
<!--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/perf_infer_gpu_one.md/0 | {
"file_path": "transformers/docs/source/it/perf_infer_gpu_one.md",
"repo_id": "transformers",
"token_count": 2333
} | 362 |
<!--
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/ja/attention.md/0 | {
"file_path": "transformers/docs/source/ja/attention.md",
"repo_id": "transformers",
"token_count": 1963
} | 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/ja/internal/generation_utils.md/0 | {
"file_path": "transformers/docs/source/ja/internal/generation_utils.md",
"repo_id": "transformers",
"token_count": 3478
} | 364 |
<!--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/main_classes/model.md/0 | {
"file_path": "transformers/docs/source/ja/main_classes/model.md",
"repo_id": "transformers",
"token_count": 2974
} | 365 |
<!--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
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Unless required by applicable law or agreed... | transformers/docs/source/ja/model_doc/bark.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/bark.md",
"repo_id": "transformers",
"token_count": 3177
} | 366 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
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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/ja/model_doc/blip.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/blip.md",
"repo_id": "transformers",
"token_count": 1815
} | 367 |
<!--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/convbert.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/convbert.md",
"repo_id": "transformers",
"token_count": 2167
} | 368 |
<!--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
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Unless required by applicable law or agreed... | transformers/docs/source/ja/model_doc/dialogpt.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/dialogpt.md",
"repo_id": "transformers",
"token_count": 1577
} | 369 |
<!--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
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"file_path": "transformers/docs/source/ja/perf_train_gpu_many.md",
"repo_id": "transformers",
"token_count": 18235
} | 370 |
<!--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
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"file_path": "transformers/docs/source/ja/tasks/asr.md",
"repo_id": "transformers",
"token_count": 7049
} | 371 |
# docstyle-ignore
INSTALL_CONTENT = """
# Transformers 설치 방법
! pip install transformers datasets evaluate accelerate
# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.
# ! pip install git+https://github.com/huggingface/transformers.git
"""
notebook_first_cells = [{"type": "code", "content": INSTALL_CONTENT}]
black_... | transformers/docs/source/ko/_config.py/0 | {
"file_path": "transformers/docs/source/ko/_config.py",
"repo_id": "transformers",
"token_count": 259
} | 372 |
<!--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/ko/fsdp.md/0 | {
"file_path": "transformers/docs/source/ko/fsdp.md",
"repo_id": "transformers",
"token_count": 5834
} | 373 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ko/main_classes/pipelines.md/0 | {
"file_path": "transformers/docs/source/ko/main_classes/pipelines.md",
"repo_id": "transformers",
"token_count": 9346
} | 374 |
<!--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/biogpt.md/0 | {
"file_path": "transformers/docs/source/ko/model_doc/biogpt.md",
"repo_id": "transformers",
"token_count": 6060
} | 375 |
<!--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 agree... | transformers/docs/source/ko/model_doc/gemma2.md/0 | {
"file_path": "transformers/docs/source/ko/model_doc/gemma2.md",
"repo_id": "transformers",
"token_count": 1279
} | 376 |
<!--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/ko/model_doc/paligemma.md/0 | {
"file_path": "transformers/docs/source/ko/model_doc/paligemma.md",
"repo_id": "transformers",
"token_count": 2814
} | 377 |
<!--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/whisper.md/0 | {
"file_path": "transformers/docs/source/ko/model_doc/whisper.md",
"repo_id": "transformers",
"token_count": 2696
} | 378 |
<!--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/perplexity.md/0 | {
"file_path": "transformers/docs/source/ko/perplexity.md",
"repo_id": "transformers",
"token_count": 6268
} | 379 |
<!--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/asr.md/0 | {
"file_path": "transformers/docs/source/ko/tasks/asr.md",
"repo_id": "transformers",
"token_count": 9518
} | 380 |
<!--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/prompting.md/0 | {
"file_path": "transformers/docs/source/ko/tasks/prompting.md",
"repo_id": "transformers",
"token_count": 15928
} | 381 |
<!--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/trainer.md/0 | {
"file_path": "transformers/docs/source/ko/trainer.md",
"repo_id": "transformers",
"token_count": 15482
} | 382 |
<!--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/quicktour.md/0 | {
"file_path": "transformers/docs/source/pt/quicktour.md",
"repo_id": "transformers",
"token_count": 6103
} | 383 |
<!--版权2020年HuggingFace团队保留所有权利。
根据Apache许可证第2.0版（“许可证”）许可；除非符合许可证，否则您不得使用此文件。您可以在以下网址获取许可证的副本：
http://www.apache.org/licenses/LICENSE-2.0
除非适用法律要求或书面同意，否则按“按原样”分发的软件，无论是明示还是暗示的，都没有任何担保或条件。请参阅许可证以了解特定语言下的权限和限制。
⚠️ 请注意，本文件虽然使用Markdown编写，但包含了特定的语法，适用于我们的doc-builder（类似于MDX），可能无法在您的Markdown查看器中正常渲染。
-->
# 基于BERT进行的相关研... | transformers/docs/source/zh/bertology.md/0 | {
"file_path": "transformers/docs/source/zh/bertology.md",
"repo_id": "transformers",
"token_count": 1343
} | 384 |
<!--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
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"file_path": "transformers/docs/source/zh/internal/generation_utils.md",
"repo_id": "transformers",
"token_count": 3447
} | 385 |
<!--版权所有 2020 年 HuggingFace 团队。保留所有权利。
根据 Apache 许可证 2.0 版本许可，除非符合许可证的规定，否则您不得使用此文件。您可以在以下网址获取许可证的副本：
http://www.apache.org/licenses/LICENSE-2.0
除非适用法律要求或书面同意，否则依照许可证分发的软件是基于“原样”提供的，不附带任何明示或暗示的担保或条件。有关特定语言下权限的限制和限制，请参阅许可证。-->
# 模型
基类 [`PreTrainedModel`]、[`TFPreTrainedModel`] 和 [`FlaxPreTrainedModel`] 实现了从本地文件或目录加载... | transformers/docs/source/zh/main_classes/model.md/0 | {
"file_path": "transformers/docs/source/zh/main_classes/model.md",
"repo_id": "transformers",
"token_count": 3276
} | 386 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/zh/perf_torch_compile.md/0 | {
"file_path": "transformers/docs/source/zh/perf_torch_compile.md",
"repo_id": "transformers",
"token_count": 6785
} | 387 |
<!--
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 agree... | transformers/docs/source/zh/torchscript.md/0 | {
"file_path": "transformers/docs/source/zh/torchscript.md",
"repo_id": "transformers",
"token_count": 4763
} | 388 |
#!/usr/bin/env python
# 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 ... | transformers/examples/flax/language-modeling/run_t5_mlm_flax.py/0 | {
"file_path": "transformers/examples/flax/language-modeling/run_t5_mlm_flax.py",
"repo_id": "transformers",
"token_count": 18771
} | 389 |
<!---
Copyright 2021 The Google Flax Team Authors and HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless r... | transformers/examples/flax/token-classification/README.md/0 | {
"file_path": "transformers/examples/flax/token-classification/README.md",
"repo_id": "transformers",
"token_count": 557
} | 390 |
# Install example requirements
pip install -r ../requirements.txt
# Download glue data
python3 ../../utils/download_glue_data.py
export TASK=mrpc
export DATA_DIR=./glue_data/MRPC/
export MAX_LENGTH=128
export LEARNING_RATE=2e-5
export BERT_MODEL=bert-base-cased
export BATCH_SIZE=32
export NUM_EPOCHS=3
export SEED=2
e... | transformers/examples/legacy/pytorch-lightning/run_glue.sh/0 | {
"file_path": "transformers/examples/legacy/pytorch-lightning/run_glue.sh",
"repo_id": "transformers",
"token_count": 360
} | 391 |
#!/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/download_wmt.py/0 | {
"file_path": "transformers/examples/legacy/seq2seq/download_wmt.py",
"repo_id": "transformers",
"token_count": 1018
} | 392 |
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