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# coding=utf-8 # Copyright 2023, 2024 DeepSeek-AI and The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LI...	text-generation-inference/server/text_generation_server/models/custom_modeling/flash_deepseek_v2_modeling.py/0	{ "file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/flash_deepseek_v2_modeling.py", "repo_id": "text-generation-inference", "token_count": 11480 }	241
# coding=utf-8 # Copyright 2024 Starcoder2 AI and the HuggingFace Inc. team. All rights reserved. # # This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX # and OPT implementations in this library. It has been modified from its # original forms to accommodate minor architectural differences compared # t...	text-generation-inference/server/text_generation_server/models/custom_modeling/flash_starcoder2_modeling.py/0	{ "file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/flash_starcoder2_modeling.py", "repo_id": "text-generation-inference", "token_count": 10078 }	242
# coding=utf-8 # Copyright 2025 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/qwen2_5_vl.py/0	{ "file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/qwen2_5_vl.py", "repo_id": "text-generation-inference", "token_count": 18679 }	243
import torch from abc import ABC, abstractmethod from dataclasses import dataclass from typing import List, Optional from transformers import PreTrainedTokenizerBase from text_generation_server.pb import generate_pb2 from text_generation_server.pb.generate_pb2 import FinishReason class Batch(ABC): @abstractmet...	text-generation-inference/server/text_generation_server/models/types.py/0	{ "file_path": "text-generation-inference/server/text_generation_server/models/types.py", "repo_id": "text-generation-inference", "token_count": 1353 }	244
# coding=utf-8 # From: https://github.com/huggingface/peft/pull/1364 # Copyright 2024-present the HuggingFace Inc. team. # Modifications by Predibase, Inc. # # 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 th...	text-generation-inference/server/text_generation_server/utils/merges/utils.py/0	{ "file_path": "text-generation-inference/server/text_generation_server/utils/merges/utils.py", "repo_id": "text-generation-inference", "token_count": 1422 }	245
[target.aarch64-unknown-linux-musl] linker = "aarch64-linux-musl-gcc" rustflags = ["-C", "target-feature=-crt-static"]	tokenizers/bindings/node/.cargo/config.toml/0	{ "file_path": "tokenizers/bindings/node/.cargo/config.toml", "repo_id": "tokenizers", "token_count": 50 }	246
/* tslint:disable / / eslint-disable / / auto-generated by NAPI-RS */ export function bpeDecoder(suffix?: string \| undefined \| null): Decoder export function byteFallbackDecoder(): Decoder export function ctcDecoder( padToken?: string = '<pad>', wordDelimiterToken?: string \| undefined \| null, cleanup?: bool...	tokenizers/bindings/node/index.d.ts/0	{ "file_path": "tokenizers/bindings/node/index.d.ts", "repo_id": "tokenizers", "token_count": 2753 }	247
# `tokenizers-android-arm64` This is the aarch64-linux-android binary for `tokenizers`	tokenizers/bindings/node/npm/android-arm64/README.md/0	{ "file_path": "tokenizers/bindings/node/npm/android-arm64/README.md", "repo_id": "tokenizers", "token_count": 31 }	248
# `tokenizers-linux-x64-musl` This is the x86_64-unknown-linux-musl binary for `tokenizers`	tokenizers/bindings/node/npm/linux-x64-musl/README.md/0	{ "file_path": "tokenizers/bindings/node/npm/linux-x64-musl/README.md", "repo_id": "tokenizers", "token_count": 38 }	249
use crate::arc_rwlock_serde; use napi::bindgen_prelude::*; use napi_derive::napi; use serde::{Deserialize, Serialize}; use std::sync::{Arc, RwLock}; use tk::pre_tokenizers::PreTokenizerWrapper; use tk::PreTokenizedString; use tk::SplitDelimiterBehavior; use tokenizers as tk; #[napi(string_enum)] pub enum JsSplitDelimi...	tokenizers/bindings/node/src/pre_tokenizers.rs/0	{ "file_path": "tokenizers/bindings/node/src/pre_tokenizers.rs", "repo_id": "tokenizers", "token_count": 3152 }	250
.PHONY: style check-style test DATA_DIR = data dir_guard=@mkdir -p $(@D) check_dirs := examples py_src/tokenizers tests # Format source code automatically style: python stub.py ruff check $(check_dirs) --fix ruff format $(check_dirs) # Check the source code is formatted correctly check-style: python stub.py -...	tokenizers/bindings/python/Makefile/0	{ "file_path": "tokenizers/bindings/python/Makefile", "repo_id": "tokenizers", "token_count": 349 }	251
from typing import Dict, Iterator, List, Optional, Union from tokenizers import AddedToken, Tokenizer, decoders, trainers from tokenizers.models import WordPiece from tokenizers.normalizers import BertNormalizer from tokenizers.pre_tokenizers import BertPreTokenizer from tokenizers.processors import BertProcessing fr...	tokenizers/bindings/python/py_src/tokenizers/implementations/bert_wordpiece.py/0	{ "file_path": "tokenizers/bindings/python/py_src/tokenizers/implementations/bert_wordpiece.py", "repo_id": "tokenizers", "token_count": 2637 }	252
# Generated content DO NOT EDIT from .. import trainers Trainer = trainers.Trainer BpeTrainer = trainers.BpeTrainer UnigramTrainer = trainers.UnigramTrainer WordLevelTrainer = trainers.WordLevelTrainer WordPieceTrainer = trainers.WordPieceTrainer	tokenizers/bindings/python/py_src/tokenizers/trainers/__init__.py/0	{ "file_path": "tokenizers/bindings/python/py_src/tokenizers/trainers/__init__.py", "repo_id": "tokenizers", "token_count": 74 }	253
use pyo3::prelude::*; use tk::Token; #[pyclass(module = "tokenizers", name = "Token")] #[derive(Clone)] pub struct PyToken { token: Token, } impl From<Token> for PyToken { fn from(token: Token) -> Self { Self { token } } } impl From<PyToken> for Token { fn from(token: PyToken) -> Self { ...	tokenizers/bindings/python/src/token.rs/0	{ "file_path": "tokenizers/bindings/python/src/token.rs", "repo_id": "tokenizers", "token_count": 439 }	254
import pickle import pytest from tokenizers import NormalizedString from tokenizers.normalizers import ( BertNormalizer, Lowercase, Normalizer, Precompiled, Sequence, Strip, Prepend, Replace, ) class TestBertNormalizer: def test_instantiate(self): assert isinstance(BertNo...	tokenizers/bindings/python/tests/bindings/test_normalizers.py/0	{ "file_path": "tokenizers/bindings/python/tests/bindings/test_normalizers.py", "repo_id": "tokenizers", "token_count": 3243 }	255
import multiprocessing as mp import os import pytest import requests DATA_PATH = os.path.join("tests", "data") def download(url, with_filename=None): filename = with_filename if with_filename is not None else url.rsplit("/")[-1] filepath = os.path.join(DATA_PATH, filename) if not os.path.exists(filepa...	tokenizers/bindings/python/tests/utils.py/0	{ "file_path": "tokenizers/bindings/python/tests/utils.py", "repo_id": "tokenizers", "token_count": 1569 }	256
Documentation ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The node API has not been documented yet.	tokenizers/docs/source/api/node.inc/0	{ "file_path": "tokenizers/docs/source/api/node.inc", "repo_id": "tokenizers", "token_count": 22 }	257
[package] authors = ["Anthony MOI <m.anthony.moi@gmail.com>", "Nicolas Patry <patry.nicolas@protonmail.com>"] edition = "2018" name = "tokenizers" version = "0.21.0-dev.0" homepage = "https://github.com/huggingface/tokenizers" repository = "https://github.com/huggingface/tokenizers" documentation = "https://docs.rs/tok...	tokenizers/tokenizers/Cargo.toml/0	{ "file_path": "tokenizers/tokenizers/Cargo.toml", "repo_id": "tokenizers", "token_count": 940 }	258
mod utils; use tokenizers::models::bpe::{Vocab, BPE}; use tokenizers::Tokenizer; use wasm_bindgen::prelude::*; // When the `wee_alloc` feature is enabled, use `wee_alloc` as the global // allocator. #[cfg(feature = "wee_alloc")] #[global_allocator] static ALLOC: wee_alloc::WeeAlloc = wee_alloc::WeeAlloc::INIT; #[was...	tokenizers/tokenizers/examples/unstable_wasm/src/lib.rs/0	{ "file_path": "tokenizers/tokenizers/examples/unstable_wasm/src/lib.rs", "repo_id": "tokenizers", "token_count": 543 }	259
use crate::tokenizer::{Decoder, Result}; use serde::{Deserialize, Serialize}; #[derive(Deserialize, Clone, Debug, Serialize)] /// Allows decoding Original BPE by joining all the tokens and then replacing /// the suffix used to identify end-of-words by whitespaces #[serde(tag = "type")] #[non_exhaustive] pub struct BP...	tokenizers/tokenizers/src/decoders/bpe.rs/0	{ "file_path": "tokenizers/tokenizers/src/decoders/bpe.rs", "repo_id": "tokenizers", "token_count": 419 }	260
//! [Unigram](https://arxiv.org/abs/1804.10959) model. mod lattice; mod model; mod serialization; mod trainer; mod trie; pub use lattice::; pub use model::; pub use trainer::*;	tokenizers/tokenizers/src/models/unigram/mod.rs/0	{ "file_path": "tokenizers/tokenizers/src/models/unigram/mod.rs", "repo_id": "tokenizers", "token_count": 72 }	261
use crate::tokenizer::pattern::Pattern; use crate::tokenizer::Decoder; use crate::tokenizer::{NormalizedString, Normalizer, Result}; use crate::utils::SysRegex; use serde::{Deserialize, Serialize}; /// Represents the different patterns that `Replace` can use #[derive(Debug, Clone, PartialEq, Serialize, Deserialize, Eq...	tokenizers/tokenizers/src/normalizers/replace.rs/0	{ "file_path": "tokenizers/tokenizers/src/normalizers/replace.rs", "repo_id": "tokenizers", "token_count": 2049 }	262
use regex::Regex; use crate::tokenizer::{ pattern::Invert, PreTokenizedString, PreTokenizer, Result, SplitDelimiterBehavior, }; use crate::utils::macro_rules_attribute; #[derive(Clone, Debug, PartialEq, Eq)] #[macro_rules_attribute(impl_serde_type!)] pub struct Whitespace; impl Default for Whitespace { fn de...	tokenizers/tokenizers/src/pre_tokenizers/whitespace.rs/0	{ "file_path": "tokenizers/tokenizers/src/pre_tokenizers/whitespace.rs", "repo_id": "tokenizers", "token_count": 1660 }	263
//! This comes from the Rust libcore and is duplicated here because it is not exported //! (cf <https://github.com/rust-lang/rust/blob/25091ed9b7739e12466fb2490baa1e8a2815121c/src/libcore/iter/adapters/mod.rs#L2664>) //! We are now using the version from <https://stackoverflow.com/questions/44544323/how-to-unzip-a-sequ...	tokenizers/tokenizers/src/utils/iter.rs/0	{ "file_path": "tokenizers/tokenizers/src/utils/iter.rs", "repo_id": "tokenizers", "token_count": 1339 }	264
<h3 align="center"> <p>State-of-the-art Machine Learning for the Web</p> </h3> Run 🤗 Transformers directly in your browser, with no need for a server! Transformers.js is designed to be functionally equivalent to Hugging Face's [transformers](https://github.com/huggingface/transformers) python library, meaning you...	transformers.js/docs/snippets/0_introduction.snippet/0	{ "file_path": "transformers.js/docs/snippets/0_introduction.snippet", "repo_id": "transformers.js", "token_count": 382 }	265
# The `pipeline` API Just like the [transformers Python library](https://github.com/huggingface/transformers), Transformers.js provides users with a simple way to leverage the power of transformers. The `pipeline()` function is the easiest and fastest way to use a pretrained model for inference. <Tip> For the full ...	transformers.js/docs/source/pipelines.md/0	{ "file_path": "transformers.js/docs/source/pipelines.md", "repo_id": "transformers.js", "token_count": 2914 }	266
import { pipeline, env } from '@xenova/transformers'; env.allowLocalModels = false; /** * This class uses the Singleton pattern to ensure that only one instance of the pipeline is loaded. */ class CodeCompletionPipeline { static task = 'text-generation'; static model = null; static instance = null; ...	transformers.js/examples/code-completion/src/worker.js/0	{ "file_path": "transformers.js/examples/code-completion/src/worker.js", "repo_id": "transformers.js", "token_count": 817 }	267
module.exports = { packagerConfig: {}, rebuildConfig: {}, makers: [ { name: '@electron-forge/maker-squirrel', config: {}, }, { name: '@electron-forge/maker-zip', platforms: ['darwin'], }, { name: '@electron-forge/maker-deb', config: {}, }, { na...	transformers.js/examples/electron/forge.config.js/0	{ "file_path": "transformers.js/examples/electron/forge.config.js", "repo_id": "transformers.js", "token_count": 192 }	268
// content.js - the content scripts which is run in the context of web pages, and has access // to the DOM and other web APIs. // Example usage: // const message = { // action: 'classify', // text: 'text to classify', // } // chrome.runtime.sendMessage(message, (response) => { // console.log('received user...	transformers.js/examples/extension/src/content.js/0	{ "file_path": "transformers.js/examples/extension/src/content.js", "repo_id": "transformers.js", "token_count": 107 }	269
import { Florence2ForConditionalGeneration, AutoProcessor, AutoTokenizer, RawImage, full, } from '@xenova/transformers'; async function hasFp16() { try { const adapter = await navigator.gpu.requestAdapter(); return adapter.features.has('shader-f16'); } catch (e) { r...	transformers.js/examples/florence2-webgpu/src/worker.js/0	{ "file_path": "transformers.js/examples/florence2-webgpu/src/worker.js", "repo_id": "transformers.js", "token_count": 1609 }	270
{ "extends": "next/core-web-vitals" }	transformers.js/examples/next-client/.eslintrc.json/0	{ "file_path": "transformers.js/examples/next-client/.eslintrc.json", "repo_id": "transformers.js", "token_count": 20 }	271
{ "extends": "next/core-web-vitals" }	transformers.js/examples/next-server/.eslintrc.json/0	{ "file_path": "transformers.js/examples/next-server/.eslintrc.json", "repo_id": "transformers.js", "token_count": 20 }	272
'use client' import { useState } from 'react' export default function Home() { // Keep track of the classification result and the model loading status. const [result, setResult] = useState(null); const [ready, setReady] = useState(null); const classify = async (text) => { if (!text) return; if (read...	transformers.js/examples/next-server/src/app/page.js/0	{ "file_path": "transformers.js/examples/next-server/src/app/page.js", "repo_id": "transformers.js", "token_count": 545 }	273
:root { font-family: Inter, system-ui, Avenir, Helvetica, Arial, sans-serif; line-height: 1.5; font-weight: 400; color: #213547; background-color: #ffffff; font-synthesis: none; text-rendering: optimizeLegibility; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; -webkit-text...	transformers.js/examples/react-translator/src/index.css/0	{ "file_path": "transformers.js/examples/react-translator/src/index.css", "repo_id": "transformers.js", "token_count": 480 }	274
import { defineConfig } from 'vite'; export default defineConfig(env => { const config = { build: { target: 'esnext' } }; // TODO: Add this back when .wasm files are served locally // if (env.mode === 'development') { // // The .wasm files are not correctly served using Vite in development mo...	transformers.js/examples/segment-anything-client/vite.config.js/0	{ "file_path": "transformers.js/examples/segment-anything-client/vite.config.js", "repo_id": "transformers.js", "token_count": 192 }	275
@tailwind base; @tailwind components; @tailwind utilities; :root { font-family: Inter, system-ui, Avenir, Helvetica, Arial, sans-serif; line-height: 1.5; font-weight: 400; color: #213547; background-color: #ffffff; font-synthesis: none; text-rendering: optimizeLegibility; -webkit-font-smoothing: antia...	transformers.js/examples/text-to-speech-client/src/index.css/0	{ "file_path": "transformers.js/examples/text-to-speech-client/src/index.css", "repo_id": "transformers.js", "token_count": 181 }	276
@tailwind base; @tailwind components; @tailwind utilities; :root { font-family: Inter, system-ui, Avenir, Helvetica, Arial, sans-serif; line-height: 1.5; font-weight: 400; color-scheme: light dark; color: rgba(255, 255, 255, 0.87); background-color: #242424; font-synthesis: none; text-rendering: opti...	transformers.js/examples/tokenizer-playground/src/index.css/0	{ "file_path": "transformers.js/examples/tokenizer-playground/src/index.css", "repo_id": "transformers.js", "token_count": 306 }	277
import { env, AutoTokenizer, Moondream1ForConditionalGeneration, TextStreamer, StoppingCriteria, RawImage, AutoProcessor, Tensor, full, } from '@xenova/transformers'; const DEVICE = 'webgpu'; const MAX_NEW_TOKENS = 256; env.backends.onnx.wasm.proxy = DEVICE !== 'webgpu'; async fu...	transformers.js/examples/webgpu-vlm/src/worker.js/0	{ "file_path": "transformers.js/examples/webgpu-vlm/src/worker.js", "repo_id": "transformers.js", "token_count": 2356 }	278
import { GITHUB_ISSUE_URL, IMAGE_PROCESSOR_NAME } from '../../utils/constants.js'; import { getModelJSON } from '../../utils/hub.js'; import { ImageProcessor } from '../../base/image_processors_utils.js'; import * as AllImageProcessors from '../image_processors.js'; export class AutoImageProcessor { /** @type {t...	transformers.js/src/models/auto/image_processing_auto.js/0	{ "file_path": "transformers.js/src/models/auto/image_processing_auto.js", "repo_id": "transformers.js", "token_count": 465 }	279
import { ImageProcessor, } from "../../base/image_processors_utils.js"; import { ones } from '../../utils/tensor.js'; /** * @typedef {object} GroundingDinoFeatureExtractorResultProps * @property {import('../../utils/tensor.js').Tensor} pixel_mask * @typedef {import('../../base/image_processors_utils.js').Ima...	transformers.js/src/models/grounding_dino/image_processing_grounding_dino.js/0	{ "file_path": "transformers.js/src/models/grounding_dino/image_processing_grounding_dino.js", "repo_id": "transformers.js", "token_count": 385 }	280