text stringlengths 5 424k | id stringlengths 13 178 | metadata dict | __index_level_0__ int64 0 672 |
|---|---|---|---|
# 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... | text-generation-inference/server/text_generation_server/models/custom_modeling/idefics_processing.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/idefics_processing.py",
"repo_id": "text-generation-inference",
"token_count": 8120
} | 300 |
import torch
import os
from loguru import logger
from typing import Dict, Optional
from text_generation_server.utils.log import log_master
REQUEST_LOGPROBS = os.getenv("REQUEST_LOGPROBS", "0").lower() in {"1", "true"}
ATTENTION = os.environ["ATTENTION"]
# default_prefix_caching = "1" if ATTENTION in {"flashinfer", "f... | text-generation-inference/server/text_generation_server/models/globals.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/globals.py",
"repo_id": "text-generation-inference",
"token_count": 917
} | 301 |
[package]
authors = ["Nicolas Patry <nicolas@huggingface.co>"]
edition = "2021"
name = "node"
version = "0.22.2-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": 221
} | 302 |
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
} | 303 |
{
"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
} | 304 |
tab_spaces = 2
| tokenizers/bindings/node/rustfmt.toml/0 | {
"file_path": "tokenizers/bindings/node/rustfmt.toml",
"repo_id": "tokenizers",
"token_count": 7
} | 305 |
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
} | 306 |
<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
} | 307 |
# 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
FixedLength = pre_tokenizers.FixedLength... | 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": 188
} | 308 |
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": 7328
} | 309 |
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
} | 310 |
# 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
} | 311 |
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
} | 312 |
#[macro_use]
extern crate criterion;
mod common;
use common::{iter_bench_encode, iter_bench_encode_batch, iter_bench_train};
use criterion::{Criterion, Throughput};
use std::hint::black_box;
use tokenizers::{
models::{bpe::BpeTrainerBuilder, TrainerWrapper},
EncodeInput, Tokenizer,
};
static BATCH_SIZE: usiz... | tokenizers/tokenizers/benches/llama3_benchmark.rs/0 | {
"file_path": "tokenizers/tokenizers/benches/llama3_benchmark.rs",
"repo_id": "tokenizers",
"token_count": 1034
} | 313 |
// 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
} | 314 |
//! [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
} | 315 |
use super::{super::OrderedVocabIter, WordPiece, WordPieceBuilder};
use ahash::{AHashMap, AHashSet};
use serde::{
de::{MapAccess, Visitor},
ser::SerializeStruct,
Deserialize, Deserializer, Serialize, Serializer,
};
impl Serialize for WordPiece {
fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::... | tokenizers/tokenizers/src/models/wordpiece/serialization.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/wordpiece/serialization.rs",
"repo_id": "tokenizers",
"token_count": 2534
} | 316 |
use crate::tokenizer::{Decoder, PreTokenizedString, PreTokenizer, Result, SplitDelimiterBehavior};
use serde::{de, Deserialize, Deserializer, Serialize};
/// Enum representing options for the metaspace prepending scheme.
#[derive(Debug, Clone, PartialEq, Serialize, Eq, Deserialize, Copy)]
#[serde(rename_all = "snake_c... | tokenizers/tokenizers/src/pre_tokenizers/metaspace.rs/0 | {
"file_path": "tokenizers/tokenizers/src/pre_tokenizers/metaspace.rs",
"repo_id": "tokenizers",
"token_count": 6687
} | 317 |
//! Represents a tokenization pipeline.
//!
//! A [`Tokenizer`](struct.Tokenizer.html) is composed of some of the following parts.
//! - [`Normalizer`](trait.Normalizer.html): Takes care of the text normalization (like unicode normalization).
//! - [`PreTokenizer`](trait.PreTokenizer.html): Takes care of the pre to... | tokenizers/tokenizers/src/tokenizer/mod.rs/0 | {
"file_path": "tokenizers/tokenizers/src/tokenizer/mod.rs",
"repo_id": "tokenizers",
"token_count": 23100
} | 318 |
use tokenizers::decoders::wordpiece::WordPiece as WordPieceDecoder;
use tokenizers::models::bpe::BPE;
use tokenizers::models::wordpiece::WordPiece;
use tokenizers::normalizers::bert::BertNormalizer;
use tokenizers::pre_tokenizers::bert::BertPreTokenizer;
use tokenizers::pre_tokenizers::byte_level::ByteLevel;
use tokeni... | tokenizers/tokenizers/tests/common/mod.rs/0 | {
"file_path": "tokenizers/tokenizers/tests/common/mod.rs",
"repo_id": "tokenizers",
"token_count": 811
} | 319 |
# Ignore artifacts:
.github
dist
docs
examples
scripts
types
*.md
| transformers.js/.prettierignore/0 | {
"file_path": "transformers.js/.prettierignore",
"repo_id": "transformers.js",
"token_count": 22
} | 320 |
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Transformers.js - Depth Anything</title>
</head>
<body>
<h1>Depth Anything w/ 🤗 Transformers.js</h1>
<div id="container">
<label id="upload-button" for="uploa... | transformers.js/examples/depth-anything-client/index.html/0 | {
"file_path": "transformers.js/examples/depth-anything-client/index.html",
"repo_id": "transformers.js",
"token_count": 597
} | 321 |
// See the Electron documentation for details on how to use preload scripts:
// https://www.electronjs.org/docs/latest/tutorial/process-model#preload-scripts
const { contextBridge, ipcRenderer } = require('electron');
// Here, we use the `contextBridge` API to expose a custom API to the renderer process.
// This API ... | transformers.js/examples/electron/src/preload.js/0 | {
"file_path": "transformers.js/examples/electron/src/preload.js",
"repo_id": "transformers.js",
"token_count": 153
} | 322 |
<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Florence2 WebGPU</title>
</head>
<body>
<div id="root"></div>
<script type="module" src="/src/main.jsx"></script>
</body>
</html>
| transformers.js/examples/florence2-webgpu/index.html/0 | {
"file_path": "transformers.js/examples/florence2-webgpu/index.html",
"repo_id": "transformers.js",
"token_count": 130
} | 323 |
module.exports = {
plugins: {
tailwindcss: {},
autoprefixer: {},
},
}
| transformers.js/examples/next-server/postcss.config.js/0 | {
"file_path": "transformers.js/examples/next-server/postcss.config.js",
"repo_id": "transformers.js",
"token_count": 38
} | 324 |
// Adapted from https://github.com/xenova/transformers.js/blob/c367f9d68b809bbbf81049c808bf6d219d761d23/src/utils/hub.js#L330
export async function getCachedFile(url) {
let cache;
try {
cache = await caches.open('semantic-audio-search');
const cachedResponse = await cache.match(url);
if... | transformers.js/examples/semantic-audio-search/utils.js/0 | {
"file_path": "transformers.js/examples/semantic-audio-search/utils.js",
"repo_id": "transformers.js",
"token_count": 502
} | 325 |
html,
body {
font-family: Arial, Helvetica, sans-serif;
}
.container {
margin: 40px auto;
width: max(50vw, 400px);
display: flex;
flex-direction: column;
align-items: center;
}
.custom-file-upload {
display: flex;
align-items: center;
cursor: pointer;
gap: 10px;
border: 2p... | transformers.js/examples/vanilla-js/style.css/0 | {
"file_path": "transformers.js/examples/vanilla-js/style.css",
"repo_id": "transformers.js",
"token_count": 389
} | 326 |
* {
box-sizing: border-box;
padding: 0;
margin: 0;
font-family: sans-serif;
}
html,
body {
height: 100%;
}
body {
padding: 16px 32px;
}
body,
#container {
display: flex;
flex-direction: column;
justify-content: center;
align-items: center;
}
#controls {
display: flex;
padding: 1rem;
gap: 1... | transformers.js/examples/webgpu-clip/style.css/0 | {
"file_path": "transformers.js/examples/webgpu-clip/style.css",
"repo_id": "transformers.js",
"token_count": 510
} | 327 |
import './style.css';
import { AutoModel, AutoProcessor, RawImage } from '@xenova/transformers';
async function hasFp16() {
try {
const adapter = await navigator.gpu.requestAdapter()
return adapter.features.has('shader-f16')
} catch (e) {
return false
}
}
// Reference the elements... | transformers.js/examples/webgpu-video-depth-estimation/main.js/0 | {
"file_path": "transformers.js/examples/webgpu-video-depth-estimation/main.js",
"repo_id": "transformers.js",
"token_count": 1857
} | 328 |
import json
from transformers.utils import cached_file
def generate_tokenizer_json(model_path, tokenizer):
# Marian models use two separate tokenizers for source and target languages.
# So, we merge them into a single tokenizer.
vocab_file = cached_file(model_path, 'vocab.json')
with open(vocab_file)... | transformers.js/scripts/extra/marian.py/0 | {
"file_path": "transformers.js/scripts/extra/marian.py",
"repo_id": "transformers.js",
"token_count": 1677
} | 329 |
/**
* @file Module used to configure Transformers.js.
*
* **Example:** Disable remote models.
* ```javascript
* import { env } from '@huggingface/transformers';
* env.allowRemoteModels = false;
* ```
*
* **Example:** Set local model path.
* ```javascript
* import { env } from '@huggingface/transformers';
... | transformers.js/src/env.js/0 | {
"file_path": "transformers.js/src/env.js",
"repo_id": "transformers.js",
"token_count": 2230
} | 330 |
import {
ImageProcessor,
} from "../../base/image_processors_utils.js";
export class CLIPImageProcessor extends ImageProcessor { }
export class CLIPFeatureExtractor extends CLIPImageProcessor { }
| transformers.js/src/models/clip/image_processing_clip.js/0 | {
"file_path": "transformers.js/src/models/clip/image_processing_clip.js",
"repo_id": "transformers.js",
"token_count": 60
} | 331 |
import { Processor } from "../../base/processing_utils.js";
import { AutoImageProcessor } from "../auto/image_processing_auto.js";
import { AutoTokenizer } from "../../tokenizers.js";
import { center_to_corners_format } from "../../base/image_processors_utils.js";
/**
* Get token ids of phrases from posmaps and input... | transformers.js/src/models/grounding_dino/processing_grounding_dino.js/0 | {
"file_path": "transformers.js/src/models/grounding_dino/processing_grounding_dino.js",
"repo_id": "transformers.js",
"token_count": 1714
} | 332 |
import { Processor } from "../../base/processing_utils.js";
import { AutoImageProcessor } from "../auto/image_processing_auto.js";
import { AutoTokenizer } from "../../tokenizers.js";
import { RawImage } from "../../utils/image.js";
export class Qwen2VLProcessor extends Processor {
static image_processor_class = A... | transformers.js/src/models/qwen2_vl/processing_qwen2_vl.js/0 | {
"file_path": "transformers.js/src/models/qwen2_vl/processing_qwen2_vl.js",
"repo_id": "transformers.js",
"token_count": 819
} | 333 |
import {
ImageProcessor,
} from "../../base/image_processors_utils.js";
import {
stack,
cat,
} from "../../utils/tensor.js";
export class VitMatteImageProcessor extends ImageProcessor {
/**
* Calls the feature extraction process on an array of images, preprocesses
* each image, and concaten... | transformers.js/src/models/vitmatte/image_processing_vitmatte.js/0 | {
"file_path": "transformers.js/src/models/vitmatte/image_processing_vitmatte.js",
"repo_id": "transformers.js",
"token_count": 746
} | 334 |
/**
* @file Helper module for audio processing.
*
* These functions and classes are only used internally,
* meaning an end-user shouldn't need to access anything here.
*
* @module utils/audio
*/
import {
getFile,
} from './hub.js';
import { FFT, max } from './maths.js';
import {
calculateReflectOffs... | transformers.js/src/utils/audio.js/0 | {
"file_path": "transformers.js/src/utils/audio.js",
"repo_id": "transformers.js",
"token_count": 13124
} | 335 |
import { init } from "./init.js";
import { collect_and_execute_tests } from "./test_utils.js";
init();
await collect_and_execute_tests("Image processors", "image_processing");
| transformers.js/tests/image_processors.test.js/0 | {
"file_path": "transformers.js/tests/image_processors.test.js",
"repo_id": "transformers.js",
"token_count": 55
} | 336 |
import { GemmaTokenizer, GemmaForCausalLM } from "../../../src/transformers.js";
import { MAX_MODEL_LOAD_TIME, MAX_TEST_EXECUTION_TIME, MAX_MODEL_DISPOSE_TIME, DEFAULT_MODEL_OPTIONS } from "../../init.js";
export default () => {
describe("GemmaForCausalLM", () => {
const model_id = "Xenova/tiny-random-GemmaForC... | transformers.js/tests/models/gemma/test_modeling_gemma.js/0 | {
"file_path": "transformers.js/tests/models/gemma/test_modeling_gemma.js",
"repo_id": "transformers.js",
"token_count": 806
} | 337 |
import { Idefics3Processor, Idefics3ForConditionalGeneration, RawImage } from "../../../src/transformers.js";
import { MAX_MODEL_LOAD_TIME, MAX_TEST_EXECUTION_TIME, MAX_MODEL_DISPOSE_TIME, DEFAULT_MODEL_OPTIONS } from "../../init.js";
export default () => {
const conversation = [
{
role: "user",
con... | transformers.js/tests/models/idefics3/test_modeling_idefics3.js/0 | {
"file_path": "transformers.js/tests/models/idefics3/test_modeling_idefics3.js",
"repo_id": "transformers.js",
"token_count": 2233
} | 338 |
import { AutoFeatureExtractor, MoonshineFeatureExtractor } 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 () => {
// MoonshineFeatureExtractor
describe("Moonshin... | transformers.js/tests/models/moonshine/test_feature_extraction_moonshine.js/0 | {
"file_path": "transformers.js/tests/models/moonshine/test_feature_extraction_moonshine.js",
"repo_id": "transformers.js",
"token_count": 465
} | 339 |
import { AutoProcessor, Phi3VProcessor } 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 = "onnx-community/Phi-3.5-vision-instruct";
describe("Phi... | transformers.js/tests/models/phi3_v/test_processor_phi3_v.js/0 | {
"file_path": "transformers.js/tests/models/phi3_v/test_processor_phi3_v.js",
"repo_id": "transformers.js",
"token_count": 1404
} | 340 |
import { AutoImageProcessor, VitMatteImageProcessor } 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 () => {
// VitMatteImageProcessor
// - tests custom overrides
// ... | transformers.js/tests/models/vitmatte/test_image_processing_vitmatte.js/0 | {
"file_path": "transformers.js/tests/models/vitmatte/test_image_processing_vitmatte.js",
"repo_id": "transformers.js",
"token_count": 1213
} | 341 |
import { pipeline, FeatureExtractionPipeline } 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 = "feature-extraction";
export default () => {
describe("Feature Extraction", () => {
cons... | transformers.js/tests/pipelines/test_pipelines_feature_extraction.js/0 | {
"file_path": "transformers.js/tests/pipelines/test_pipelines_feature_extraction.js",
"repo_id": "transformers.js",
"token_count": 2082
} | 342 |
import { pipeline, ZeroShotClassificationPipeline } 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 = "zero-shot-classification";
export default () => {
describe("Zero-shot Classification",... | transformers.js/tests/pipelines/test_pipelines_zero_shot.js/0 | {
"file_path": "transformers.js/tests/pipelines/test_pipelines_zero_shot.js",
"repo_id": "transformers.js",
"token_count": 1523
} | 343 |
{
// Only include files in the src directory
"include": ["src/**/*"],
"compilerOptions": {
// Tells the compiler to check JS files
"checkJs": true,
"target": "esnext",
"module": "nodenext",
"moduleResolution": "nodenext",
"outDir": "types",
"strict": false,
"skipLibCheck": true,
... | transformers.js/tsconfig.json/0 | {
"file_path": "transformers.js/tsconfig.json",
"repo_id": "transformers.js",
"token_count": 196
} | 344 |
# 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 applicabl... | transformers/benchmark/benchmarks_entrypoint.py/0 | {
"file_path": "transformers/benchmark/benchmarks_entrypoint.py",
"repo_id": "transformers",
"token_count": 8858
} | 345 |
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 | {
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# قوالب نماذج الدردشة
## مقدمة
تعد **الدردشة** أحد استخدامات نماذج اللغات الكبيرة (LLMs) شائعة الاستخدام بشكل متزايد. ففي سياق الدردشة، وبدلاً من متابعة سلسلة نصية واحدة (كما هو الحال مع نماذج اللغات القياسية)، يواصل النموذج بدلاً من ذلك محادثة تتكون من رسالة واحدة أو أكثر، تتضمن كل منها دورًا، مثل "المستخدم" أو "الم... | transformers/docs/source/ar/chat_templating.md/0 | {
"file_path": "transformers/docs/source/ar/chat_templating.md",
"repo_id": "transformers",
"token_count": 33667
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# المحولات النمطية
مكتبة `transformers` هي إطار عمل ذو فلسفة محدد؛ يتم تعريف فلسفتنا في [الدليل المفاهيمي](./philosophy).
جوهر هذه الفلسفة يتمثل في مبدأ [نموذج واحد، ملف واحد](https://huggingface.co/blog/transformers-design-philosophy)
في المكتبة. الجانب السلبي لهذا المكون هو تقييده لوراثة واستيراد مكونات الملفات.
ن... | transformers/docs/source/ar/modular_transformers.md/0 | {
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# Jan: using the serving API as a local LLM provider
This example shows how to use `transformers serve` as a local LLM provider for the [Jan](https://jan.ai/) app. Jan is a ChatGPT-alternative graphical interface, fully running on your machine. The requests to `transformers serve` come directly from the local app -- w... | transformers/docs/source/en/jan.md/0 | {
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"token_count": 598
} | 353 |
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"file_path": "transformers/docs/source/en/model_doc/longformer.md",
"repo_id": "transformers",
"token_count": 1968
} | 365 |
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Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/mobilenet_v1.md/0 | {
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"file_path": "transformers/docs/source/en/model_doc/nat.md",
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} | 367 |
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Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/qwen2_vl.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/qwen2_vl.md",
"repo_id": "transformers",
"token_count": 4426
} | 370 |
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Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/roberta.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/roberta.md",
"repo_id": "transformers",
"token_count": 1407
} | 371 |
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Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/trajectory_transformer.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/trajectory_transformer.md",
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"token_count": 872
} | 372 |
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"file_path": "transformers/docs/source/en/model_doc/xlsr_wav2vec2.md",
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} | 374 |
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<!---
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