text stringlengths 5 409k | id stringlengths 14 178 | metadata dict | __index_level_0__ int64 0 572 |
|---|---|---|---|
use crate::config::Config;
use clap::ValueEnum;
use csv::ReaderBuilder;
use reqwest::header::HeaderMap;
use serde::Serialize;
use std::{
fs::File,
io::{self, BufRead},
path::Path,
process::Command,
time::Duration,
};
use uuid::Uuid;
const TELEMETRY_URL: &str = "https://huggingface.co/api/telemetry/... | text-generation-inference/router/src/usage_stats.rs/0 | {
"file_path": "text-generation-inference/router/src/usage_stats.rs",
"repo_id": "text-generation-inference",
"token_count": 5353
} | 269 |
# Text Generation Inference Python gRPC Server
A Python gRPC server for Text Generation Inference
## Install
```shell
make install
```
## Run
```shell
make run-dev
```
| text-generation-inference/server/README.md/0 | {
"file_path": "text-generation-inference/server/README.md",
"repo_id": "text-generation-inference",
"token_count": 56
} | 270 |
// Adapted from turboderp exllama: https://github.com/turboderp/exllama
#ifndef _matrix_cuh
#define _matrix_cuh
#include <cuda_runtime.h>
#include <cuda_fp16.h>
class MatrixView_half
{
public:
const half* data;
const int height;
const int width;
__device__ __forceinline__ MatrixView_half(const half*... | text-generation-inference/server/exllama_kernels/exllama_kernels/matrix.cuh/0 | {
"file_path": "text-generation-inference/server/exllama_kernels/exllama_kernels/matrix.cuh",
"repo_id": "text-generation-inference",
"token_count": 5380
} | 271 |
#ifndef _qdq_4_cuh
#define _qdq_4_cuh
#include "qdq_util.cuh"
#include "../../config.h"
#if QMODE_4BIT == 1
// Permutation:
//
// 77775555 33331111 66664444 22220000
__forceinline__ __device__ void shuffle_4bit_8
(
uint32_t* q,
int stride
)
{
uint32_t qa = q[0];
uint32_t qb = 0;
#pragma unroll... | text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_4.cuh/0 | {
"file_path": "text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_4.cuh",
"repo_id": "text-generation-inference",
"token_count": 3279
} | 272 |
import pytest
import torch
from copy import copy
from transformers import AutoTokenizer
from text_generation_server.pb import generate_pb2
from text_generation_server.models.causal_lm import CausalLMBatch
from text_generation_server.utils import weight_hub_files, download_weights
from text_generation_server.models.bl... | text-generation-inference/server/tests/models/test_bloom.py/0 | {
"file_path": "text-generation-inference/server/tests/models/test_bloom.py",
"repo_id": "text-generation-inference",
"token_count": 5403
} | 273 |
# Origin: https://github.com/predibase/lorax
# Path: lorax/server/lorax_server/adapters/weights.py
# License: Apache License Version 2.0, January 2004
from abc import ABC, abstractclassmethod
from collections import defaultdict
from dataclasses import dataclass
from typing import Dict, List, Optional, Set, Type... | text-generation-inference/server/text_generation_server/adapters/weights.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/adapters/weights.py",
"repo_id": "text-generation-inference",
"token_count": 1824
} | 274 |
from typing import Optional
import torch
import torch.nn as nn
import intel_extension_for_pytorch as ipex
class WQLinear(nn.Module):
def __init__(
self, w_bit, group_size, qweight, qzeros, scales, bias: Optional[torch.Tensor]
):
super().__init__()
if w_bit not in [4]:
rais... | text-generation-inference/server/text_generation_server/layers/awq/quantize/ipex.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/layers/awq/quantize/ipex.py",
"repo_id": "text-generation-inference",
"token_count": 778
} | 275 |
import math
import numpy as np
import torch
import torch.nn as nn
import intel_extension_for_pytorch as ipex
class QuantLinear(nn.Module):
def __init__(self, qweight, qzeros, scales, g_idx, bias, bits, groupsize):
super().__init__()
self.register_buffer("qweight", qweight)
self.register_b... | text-generation-inference/server/text_generation_server/layers/gptq/ipex.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/layers/gptq/ipex.py",
"repo_id": "text-generation-inference",
"token_count": 2335
} | 276 |
# 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/layers/moe/fused_moe_ipex.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/layers/moe/fused_moe_ipex.py",
"repo_id": "text-generation-inference",
"token_count": 920
} | 277 |
# coding=utf-8
# Copyright 2022 EleutherAI 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
# to G... | text-generation-inference/server/text_generation_server/models/custom_modeling/flash_gemma2_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/flash_gemma2_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 9377
} | 278 |
# 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/idefics3.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/idefics3.py",
"repo_id": "text-generation-inference",
"token_count": 10719
} | 279 |
from typing import Optional, Tuple
import warnings
import math
import torch
from torch import nn
from transformers.activations import ACT2FN
from transformers.modeling_outputs import (
BaseModelOutputWithPooling,
)
from transformers import SiglipConfig, SiglipVisionConfig
from torch.nn.init import _calculate_fan_i... | text-generation-inference/server/text_generation_server/models/custom_modeling/siglip.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/siglip.py",
"repo_id": "text-generation-inference",
"token_count": 6676
} | 280 |
from typing import Optional
SUPPORT_CHUNKING: Optional[bool] = None
MAX_PREFILL_TOKENS: Optional[int] = None
def set_support_chunking(support_chunking: bool):
global SUPPORT_CHUNKING
SUPPORT_CHUNKING = support_chunking
def get_support_chunking() -> bool:
global SUPPORT_CHUNKING
return SUPPORT_CHUNK... | text-generation-inference/server/text_generation_server/utils/prefill_chunking.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/prefill_chunking.py",
"repo_id": "text-generation-inference",
"token_count": 221
} | 281 |
parser: '@typescript-eslint/parser'
parserOptions:
ecmaFeatures:
jsx: true
ecmaVersion: latest
sourceType: module
project: ./tsconfig.json
env:
browser: true
es6: true
node: true
jest: true
ignorePatterns: ['index.js', 'target/']
plugins:
- import
- '@typescript-eslint'
extends:
- eslint:... | tokenizers/bindings/node/.eslintrc.yml/0 | {
"file_path": "tokenizers/bindings/node/.eslintrc.yml",
"repo_id": "tokenizers",
"token_count": 2733
} | 282 |
/* eslint-disable prettier/prettier */
// For a detailed explanation regarding each configuration property, visit:
// https://jestjs.io/docs/en/configuration.html
module.exports = {
// All imported modules in your tests should be mocked automatically
// automock: false,
// Stop running tests after `n` failures
... | tokenizers/bindings/node/jest.config.js/0 | {
"file_path": "tokenizers/bindings/node/jest.config.js",
"repo_id": "tokenizers",
"token_count": 1715
} | 283 |
# `tokenizers-darwin-arm64`
This is the **aarch64-apple-darwin** binary for `tokenizers`
| tokenizers/bindings/node/npm/darwin-arm64/README.md/0 | {
"file_path": "tokenizers/bindings/node/npm/darwin-arm64/README.md",
"repo_id": "tokenizers",
"token_count": 33
} | 284 |
# `tokenizers-win32-arm64-msvc`
This is the **aarch64-pc-windows-msvc** binary for `tokenizers`
| tokenizers/bindings/node/npm/win32-arm64-msvc/README.md/0 | {
"file_path": "tokenizers/bindings/node/npm/win32-arm64-msvc/README.md",
"repo_id": "tokenizers",
"token_count": 38
} | 285 |
pub mod models;
pub mod tokenizer;
| tokenizers/bindings/node/src/tasks/mod.rs/0 | {
"file_path": "tokenizers/bindings/node/src/tasks/mod.rs",
"repo_id": "tokenizers",
"token_count": 11
} | 286 |
import os
import time
import argparse
from datasets import load_dataset
from tiktoken.load import load_tiktoken_bpe
import tiktoken
from tokenizers import Tokenizer
from huggingface_hub import hf_hub_download
from typing import Tuple, List
from multiprocessing import Process
MODEL_ID = "meta-llama/Meta-Llama-3.1-8B"
D... | tokenizers/bindings/python/benches/test_tiktoken.py/0 | {
"file_path": "tokenizers/bindings/python/benches/test_tiktoken.py",
"repo_id": "tokenizers",
"token_count": 2288
} | 287 |
from typing import Dict, Iterator, List, Optional, Tuple, Union
from .. import AddedToken, Tokenizer, decoders, pre_tokenizers, trainers
from ..models import BPE
from ..normalizers import BertNormalizer, Lowercase, Sequence, unicode_normalizer_from_str
from .base_tokenizer import BaseTokenizer
class CharBPETokenizer... | tokenizers/bindings/python/py_src/tokenizers/implementations/char_level_bpe.py/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/implementations/char_level_bpe.py",
"repo_id": "tokenizers",
"token_count": 2509
} | 288 |
[project]
name = "tokenizers"
requires-python = ">=3.9"
authors = [
{ name = "Nicolas Patry", email = "patry.nicolas@protonmail.com" },
{ name = "Anthony Moi", email = "anthony@huggingface.co" },
]
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audi... | tokenizers/bindings/python/pyproject.toml/0 | {
"file_path": "tokenizers/bindings/python/pyproject.toml",
"repo_id": "tokenizers",
"token_count": 684
} | 289 |
use std::sync::{Arc, RwLock};
use crate::models::PyModel;
use crate::tokenizer::PyAddedToken;
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use serde::{Deserialize, Serialize};
use tk::models::TrainerWrapper;
use tk::Trainer;
use tokenizers as tk;
/// Base class for all trainers
///
/// This class i... | tokenizers/bindings/python/src/trainers.rs/0 | {
"file_path": "tokenizers/bindings/python/src/trainers.rs",
"repo_id": "tokenizers",
"token_count": 17933
} | 290 |
import json
import pickle
import pytest
from tokenizers import Tokenizer
from tokenizers.models import BPE
from tokenizers.pre_tokenizers import ByteLevel as ByteLevelPreTokenizer
from tokenizers.processors import (
BertProcessing,
ByteLevel,
PostProcessor,
RobertaProcessing,
Sequence,
Templat... | tokenizers/bindings/python/tests/bindings/test_processors.py/0 | {
"file_path": "tokenizers/bindings/python/tests/bindings/test_processors.py",
"repo_id": "tokenizers",
"token_count": 4406
} | 291 |
## Requirements
In order to generate the documentation, it is necessary to have a Python environment with the
following:
```python
pip install sphinx sphinx_rtd_theme setuptools_rust
```
It is also necessary to have the `tokenizers` library in this same environment, for Sphinx to
generate all the API Reference and li... | tokenizers/docs/README.md/0 | {
"file_path": "tokenizers/docs/README.md",
"repo_id": "tokenizers",
"token_count": 266
} | 292 |
# Installation
<tokenizerslangcontent>
<python>
🤗 Tokenizers is tested on Python 3.5+.
You should install 🤗 Tokenizers in a [virtual environment](https://docs.python.org/3/library/venv.html). If you're
unfamiliar with Python virtual environments, check out the [user
guide](https://packaging.python.org/guides/instal... | tokenizers/docs/source-doc-builder/installation.mdx/0 | {
"file_path": "tokenizers/docs/source-doc-builder/installation.mdx",
"repo_id": "tokenizers",
"token_count": 553
} | 293 |
.. only:: python
.. include:: python.inc
.. only:: rust
.. include:: rust.inc
.. only:: node
.. include:: node.inc
| tokenizers/docs/source/api/reference.rst/0 | {
"file_path": "tokenizers/docs/source/api/reference.rst",
"repo_id": "tokenizers",
"token_count": 47
} | 294 |
DATA_DIR = data
BENCHMARK_DIR = benches
TESTS_DIR = tests
dir_guard=@mkdir -p $(@D)
SHARED_RESOURCES = $(DATA_DIR)/gpt2-vocab.json $(DATA_DIR)/gpt2-merges.txt $(DATA_DIR)/bert-base-uncased-vocab.txt $(DATA_DIR)/big.txt $(DATA_DIR)/small.txt $(DATA_DIR)/albert-base-v1-tokenizer.json $(DATA_DIR)/llama-3-tokenizer.json... | tokenizers/tokenizers/Makefile/0 | {
"file_path": "tokenizers/tokenizers/Makefile",
"repo_id": "tokenizers",
"token_count": 1019
} | 295 |
//! Test suite for the Web and headless browsers.
#![cfg(target_arch = "wasm32")]
extern crate wasm_bindgen_test;
use wasm_bindgen_test::*;
wasm_bindgen_test_configure!(run_in_browser);
#[wasm_bindgen_test]
fn pass() {
assert_eq!(1 + 1, 2);
}
| tokenizers/tokenizers/examples/unstable_wasm/tests/web.rs/0 | {
"file_path": "tokenizers/tokenizers/examples/unstable_wasm/tests/web.rs",
"repo_id": "tokenizers",
"token_count": 109
} | 296 |
use super::model::Unigram;
use serde::{
de::{Error, MapAccess, Visitor},
ser::SerializeStruct,
Deserialize, Deserializer, Serialize, Serializer,
};
impl Serialize for Unigram {
fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
where
S: Serializer,
{
let mut model ... | tokenizers/tokenizers/src/models/unigram/serialization.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/unigram/serialization.rs",
"repo_id": "tokenizers",
"token_count": 1824
} | 297 |
use crate::tokenizer::{NormalizedString, Normalizer, Result};
use crate::utils::macro_rules_attribute;
#[derive(Default, Copy, Clone, Debug)]
#[macro_rules_attribute(impl_serde_type!)]
pub struct NFD;
impl Normalizer for NFD {
fn normalize(&self, normalized: &mut NormalizedString) -> Result<()> {
normalize... | tokenizers/tokenizers/src/normalizers/unicode.rs/0 | {
"file_path": "tokenizers/tokenizers/src/normalizers/unicode.rs",
"repo_id": "tokenizers",
"token_count": 1317
} | 298 |
pub mod bert;
pub mod roberta;
pub mod sequence;
pub mod template;
// Re-export these as processors
pub use super::pre_tokenizers::byte_level;
use serde::{Deserialize, Serialize};
use crate::pre_tokenizers::byte_level::ByteLevel;
use crate::processors::bert::BertProcessing;
use crate::processors::roberta::RobertaPro... | tokenizers/tokenizers/src/processors/mod.rs/0 | {
"file_path": "tokenizers/tokenizers/src/processors/mod.rs",
"repo_id": "tokenizers",
"token_count": 2147
} | 299 |
use crate::tokenizer::pattern::Pattern;
use crate::{Offsets, Result};
use onig::Regex;
use std::error::Error;
#[derive(Debug)]
pub struct SysRegex {
regex: Regex,
}
impl SysRegex {
pub fn find_iter<'r, 't>(&'r self, inside: &'t str) -> onig::FindMatches<'r, 't> {
self.regex.find_iter(inside)
}
... | tokenizers/tokenizers/src/utils/onig.rs/0 | {
"file_path": "tokenizers/tokenizers/src/utils/onig.rs",
"repo_id": "tokenizers",
"token_count": 571
} | 300 |
To install via [NPM](https://www.npmjs.com/package/@huggingface/transformers), run:
```bash
npm i @huggingface/transformers
```
Alternatively, you can use it in vanilla JS, without any bundler, by using a CDN or static hosting. For example, using [ES Modules](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Gu... | transformers.js/docs/snippets/2_installation.snippet/0 | {
"file_path": "transformers.js/docs/snippets/2_installation.snippet",
"repo_id": "transformers.js",
"token_count": 176
} | 301 |
# Building an Electron application
*Full tutorial coming soon...* In the meantime, check out the example application: https://github.com/huggingface/transformers.js/tree/main/examples/electron
| transformers.js/docs/source/tutorials/electron.md/0 | {
"file_path": "transformers.js/docs/source/tutorials/electron.md",
"repo_id": "transformers.js",
"token_count": 51
} | 302 |
/** @type {import('tailwindcss').Config} */
export default {
content: [
"./index.html",
"./src/**/*.{js,ts,jsx,tsx}",
],
theme: {
extend: {},
},
plugins: [],
}
| transformers.js/examples/adaptive-retrieval/tailwind.config.js/0 | {
"file_path": "transformers.js/examples/adaptive-retrieval/tailwind.config.js",
"repo_id": "transformers.js",
"token_count": 82
} | 303 |
import { defineConfig } from 'vite'
import react from '@vitejs/plugin-react'
// https://vitejs.dev/config/
export default defineConfig({
plugins: [react()],
})
| transformers.js/examples/code-completion/vite.config.js/0 | {
"file_path": "transformers.js/examples/code-completion/vite.config.js",
"repo_id": "transformers.js",
"token_count": 54
} | 304 |
import Chart from 'chart.js/auto';
import Prism from 'prismjs';
// Import code and styles for supported languages
import 'prismjs/components/prism-javascript';
import 'prismjs/components/prism-python';
import 'prismjs/components/prism-markdown';
import 'prismjs/components/prism-clike';
import 'prismjs/themes/prism.c... | transformers.js/examples/demo-site/src/main.js/0 | {
"file_path": "transformers.js/examples/demo-site/src/main.js",
"repo_id": "transformers.js",
"token_count": 9224
} | 305 |
{
"name": "electron",
"productName": "electron",
"version": "1.0.0",
"description": "Transformers.js sample Electron application",
"main": "src/index.js",
"scripts": {
"start": "electron-forge start",
"package": "electron-forge package",
"make": "electron-forge make",
"publish": "electron-fo... | transformers.js/examples/electron/package.json/0 | {
"file_path": "transformers.js/examples/electron/package.json",
"repo_id": "transformers.js",
"token_count": 361
} | 306 |
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Transformers.js | Sample Browser Extension</title>
<!-- Load styles -->
<link rel="stylesheet" href... | transformers.js/examples/extension/src/popup.html/0 | {
"file_path": "transformers.js/examples/extension/src/popup.html",
"repo_id": "transformers.js",
"token_count": 246
} | 307 |
This is a [Next.js](https://nextjs.org/) project bootstrapped with [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app).
## Getting Started
First, run the development server:
```bash
npm run dev
# or
yarn dev
# or
pnpm dev
```
Open [http://localhost:3000](http://localhost:3000... | transformers.js/examples/next-client/README.md/0 | {
"file_path": "transformers.js/examples/next-client/README.md",
"repo_id": "transformers.js",
"token_count": 414
} | 308 |
# syntax=docker/dockerfile:1.4
# Adapted from https://github.com/vercel/next.js/blob/e60a1e747c3f521fc24dfd9ee2989e13afeb0a9b/examples/with-docker/Dockerfile
# For more information, see https://nextjs.org/docs/pages/building-your-application/deploying#docker-image
FROM node:18 AS base
# Install dependencies only whe... | transformers.js/examples/next-server/Dockerfile/0 | {
"file_path": "transformers.js/examples/next-server/Dockerfile",
"repo_id": "transformers.js",
"token_count": 743
} | 309 |
import { pipeline } from '@xenova/transformers';
import wavefile from 'wavefile';
// Load model
let transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');
// Load audio data
let url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
let buffer = Buff... | transformers.js/examples/node-audio-processing/index.js/0 | {
"file_path": "transformers.js/examples/node-audio-processing/index.js",
"repo_id": "transformers.js",
"token_count": 479
} | 310 |
import { pipeline } from '@xenova/transformers';
/**
* This class uses the Singleton pattern to ensure that only one instance of the
* pipeline is loaded. This is because loading the pipeline is an expensive
* operation and we don't want to do it every time we want to translate a sentence.
*/
class MyTranslationP... | transformers.js/examples/react-translator/src/worker.js/0 | {
"file_path": "transformers.js/examples/react-translator/src/worker.js",
"repo_id": "transformers.js",
"token_count": 614
} | 311 |
# Semantic Image Search
This example shows you how to use Transformers.js to create a semantic image search engine. Check out the demo [here](https://huggingface.co/spaces/Xenova/semantic-image-search).
![Semantic Image Search Demo](https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/semantic-im... | transformers.js/examples/semantic-image-search/README.md/0 | {
"file_path": "transformers.js/examples/semantic-image-search/README.md",
"repo_id": "transformers.js",
"token_count": 1129
} | 312 |
'use client'
import { useState } from 'react'
import { Modal } from './components/Modal';
import { SearchBar } from './components/SearchBar';
import { ImageGrid } from './components/ImageGrid';
export default function Home() {
// Application state
const [images, setImages] = useState(null);
const [currentImage... | transformers.js/examples/semantic-image-search/src/app/page.js/0 | {
"file_path": "transformers.js/examples/semantic-image-search/src/app/page.js",
"repo_id": "transformers.js",
"token_count": 345
} | 313 |
// Adapted from https://www.npmjs.com/package/audiobuffer-to-wav
export function encodeWAV(samples) {
let offset = 44;
const buffer = new ArrayBuffer(offset + samples.length * 4);
const view = new DataView(buffer);
const sampleRate = 16000;
/* RIFF identifier */
writeString(view, 0, 'RIFF')
... | transformers.js/examples/text-to-speech-client/src/utils.js/0 | {
"file_path": "transformers.js/examples/text-to-speech-client/src/utils.js",
"repo_id": "transformers.js",
"token_count": 574
} | 314 |
// Although not strictly necessary, we delegate the tokenization to a worker thread to avoid
// any potential issues with the tokenizer blocking the main thread (especially for large inputs).
import { env, AutoTokenizer } from '@xenova/transformers'
env.allowLocalModels = false;
// This is a map of all the tokenizer... | transformers.js/examples/tokenizer-playground/src/worker.js/0 | {
"file_path": "transformers.js/examples/tokenizer-playground/src/worker.js",
"repo_id": "transformers.js",
"token_count": 1112
} | 315 |
# React + Vite
This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules.
Currently, two official plugins are available:
- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react/README.md) uses [Babel](https://babeljs.io/) for Fast ... | transformers.js/examples/webgpu-chat/README.md/0 | {
"file_path": "transformers.js/examples/webgpu-chat/README.md",
"repo_id": "transformers.js",
"token_count": 152
} | 316 |
import './style.css';
import { env, AutoModel, AutoProcessor, RawImage } from '@xenova/transformers';
env.backends.onnx.wasm.wasmPaths = 'https://cdn.jsdelivr.net/npm/onnxruntime-web@1.17.1/dist/';
env.backends.onnx.wasm.numThreads = 1;
// Reference the elements that we will need
const status = document.getElementBy... | transformers.js/examples/webgpu-video-background-removal/main.js/0 | {
"file_path": "transformers.js/examples/webgpu-video-background-removal/main.js",
"repo_id": "transformers.js",
"token_count": 1573
} | 317 |
{
"name": "@huggingface/transformers",
"version": "3.3.3",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "@huggingface/transformers",
"version": "3.3.3",
"license": "Apache-2.0",
"dependencies": {
"@huggingface/jinja": "^0.3.3",
"onnxruntime-no... | transformers.js/package-lock.json/0 | {
"file_path": "transformers.js/package-lock.json",
"repo_id": "transformers.js",
"token_count": 242303
} | 318 |
import { FEATURE_EXTRACTOR_NAME } from "../utils/constants.js";
import { Callable } from "../utils/generic.js";
import { getModelJSON } from "../utils/hub.js";
/**
* Base class for feature extractors.
*/
export class FeatureExtractor extends Callable {
/**
* Constructs a new FeatureExtractor instance.
... | transformers.js/src/base/feature_extraction_utils.js/0 | {
"file_path": "transformers.js/src/base/feature_extraction_utils.js",
"repo_id": "transformers.js",
"token_count": 822
} | 319 |
import {
ImageProcessor,
} from "../../base/image_processors_utils.js";
export class BeitFeatureExtractor extends ImageProcessor { }
| transformers.js/src/models/beit/image_processing_beit.js/0 | {
"file_path": "transformers.js/src/models/beit/image_processing_beit.js",
"repo_id": "transformers.js",
"token_count": 44
} | 320 |
import {
ImageProcessor,
} from "../../base/image_processors_utils.js";
import { cat, full, interpolate_4d, slice, stack } from "../../utils/tensor.js";
export class Idefics3ImageProcessor extends ImageProcessor {
constructor(config) {
super(config);
this.do_image_splitting = config.do_image... | transformers.js/src/models/idefics3/image_processing_idefics3.js/0 | {
"file_path": "transformers.js/src/models/idefics3/image_processing_idefics3.js",
"repo_id": "transformers.js",
"token_count": 4606
} | 321 |
import { FeatureExtractor, validate_audio_inputs } from '../../base/feature_extraction_utils.js';
import { Tensor } from '../../utils/tensor.js';
export class MoonshineFeatureExtractor extends FeatureExtractor {
/**
* Asynchronously extracts input values from a given audio using the provided configuration.
... | transformers.js/src/models/moonshine/feature_extraction_moonshine.js/0 | {
"file_path": "transformers.js/src/models/moonshine/feature_extraction_moonshine.js",
"repo_id": "transformers.js",
"token_count": 364
} | 322 |
import {
ImageProcessor,
} from "../../base/image_processors_utils.js";
import { calculateDimensions } from "../../utils/core.js";
import {
interpolate_4d,
Tensor,
} from "../../utils/tensor.js";
/**
* @typedef {object} SamImageProcessorResult
* @property {Tensor} pixel_values
* @property {import("..... | transformers.js/src/models/sam/image_processing_sam.js/0 | {
"file_path": "transformers.js/src/models/sam/image_processing_sam.js",
"repo_id": "transformers.js",
"token_count": 4498
} | 323 |
const WHISPER_LANGUAGES = [
["en", "english"],
["zh", "chinese"],
["de", "german"],
["es", "spanish"],
["ru", "russian"],
["ko", "korean"],
["fr", "french"],
["ja", "japanese"],
["pt", "portuguese"],
["tr", "turkish"],
["pl", "polish"],
["ca", "catalan"],
["nl", "du... | transformers.js/src/models/whisper/common_whisper.js/0 | {
"file_path": "transformers.js/src/models/whisper/common_whisper.js",
"repo_id": "transformers.js",
"token_count": 1848
} | 324 |
/**
* @file Utility functions to interact with the Hugging Face Hub (https://huggingface.co/models)
*
* @module utils/hub
*/
import fs from 'fs';
import path from 'path';
import { env } from '../env.js';
import { dispatchCallback } from './core.js';
/**
* @typedef {Object} PretrainedOptions Options for loadin... | transformers.js/src/utils/hub.js/0 | {
"file_path": "transformers.js/src/utils/hub.js",
"repo_id": "transformers.js",
"token_count": 10053
} | 325 |
import { AutoImageProcessor, BitImageProcessor } 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 () => {
describe("BitImageProcessor", () => {
const model_id = "Xenova/... | transformers.js/tests/models/bit/test_image_processing_bit.js/0 | {
"file_path": "transformers.js/tests/models/bit/test_image_processing_bit.js",
"repo_id": "transformers.js",
"token_count": 435
} | 326 |
import { AutoImageProcessor, DPTFeatureExtractor, DPTImageProcessor } 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 () => {
// DPTFeatureExtractor
describe("DPTFeatureE... | transformers.js/tests/models/dpt/test_image_processing_dpt.js/0 | {
"file_path": "transformers.js/tests/models/dpt/test_image_processing_dpt.js",
"repo_id": "transformers.js",
"token_count": 1111
} | 327 |
import { GPTNeoXTokenizer, GPTJForCausalLM } 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("GPTJForCausalLM", () => {
const model_id = "hf-internal-testing/tiny-ran... | transformers.js/tests/models/gptj/test_modeling_gptj.js/0 | {
"file_path": "transformers.js/tests/models/gptj/test_modeling_gptj.js",
"repo_id": "transformers.js",
"token_count": 782
} | 328 |
import { MgpstrProcessor, MgpstrForSceneTextRecognition } from "../../../src/transformers.js";
import { load_cached_image } from "../../asset_cache.js";
import { MAX_MODEL_LOAD_TIME, MAX_TEST_EXECUTION_TIME, MAX_MODEL_DISPOSE_TIME, DEFAULT_MODEL_OPTIONS } from "../../init.js";
export default () => {
describe("Mgpst... | transformers.js/tests/models/mgp_str/test_modeling_mgp_str.js/0 | {
"file_path": "transformers.js/tests/models/mgp_str/test_modeling_mgp_str.js",
"repo_id": "transformers.js",
"token_count": 1680
} | 329 |
import { AutoProcessor, PaliGemmaProcessor } 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-PaliGemmaForCondition... | transformers.js/tests/models/paligemma/test_processor_paligemma.js/0 | {
"file_path": "transformers.js/tests/models/paligemma/test_processor_paligemma.js",
"repo_id": "transformers.js",
"token_count": 709
} | 330 |
import { pipeline, AutomaticSpeechRecognitionPipeline } 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 = "automatic-speech-recognition";
export default () => {
describe("Automatic Speech R... | transformers.js/tests/pipelines/test_pipelines_automatic_speech_recognition.js/0 | {
"file_path": "transformers.js/tests/pipelines/test_pipelines_automatic_speech_recognition.js",
"repo_id": "transformers.js",
"token_count": 2373
} | 331 |
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
} | 332 |
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": 9122
} | 333 |
import argparse
import importlib.util
import logging
import os
from typing import Dict
import psycopg2
import sys
from psycopg2.extras import Json
from psycopg2.extensions import register_adapter
register_adapter(dict, Json)
class ImportModuleException(Exception):
pass
class MetricsRecorder:
def __init__... | transformers/benchmark/benchmarks_entrypoint.py/0 | {
"file_path": "transformers/benchmark/benchmarks_entrypoint.py",
"repo_id": "transformers",
"token_count": 2117
} | 334 |
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 venv && uv pip install --no-cache-dir -U pip setuptools
RUN pip install --no-cache-... | transformers/docker/jax-light.dockerfile/0 | {
"file_path": "transformers/docker/jax-light.dockerfile",
"repo_id": "transformers",
"token_count": 227
} | 335 |
FROM nvidia/cuda:12.1.0-cudnn8-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://githu... | transformers/docker/transformers-pytorch-gpu/Dockerfile/0 | {
"file_path": "transformers/docker/transformers-pytorch-gpu/Dockerfile",
"repo_id": "transformers",
"token_count": 611
} | 336 |
# 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://arxiv.org/abs/1905.0... | transformers/docs/source/ar/bertology.md/0 | {
"file_path": "transformers/docs/source/ar/bertology.md",
"repo_id": "transformers",
"token_count": 970
} | 337 |
<!--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
} | 338 |
# docstyle-ignore
INSTALL_CONTENT = """
# Transformers installation
! pip install transformers datasets evaluate accelerate
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
"""
notebook_f... | transformers/docs/source/de/_config.py/0 | {
"file_path": "transformers/docs/source/de/_config.py",
"repo_id": "transformers",
"token_count": 157
} | 339 |
<!--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": 7515
} | 340 |
<!--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_template_advanced.md/0 | {
"file_path": "transformers/docs/source/en/chat_template_advanced.md",
"repo_id": "transformers",
"token_count": 6534
} | 341 |
<!--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 to... | transformers/docs/source/en/llm_tutorial_optimization.md/0 | {
"file_path": "transformers/docs/source/en/llm_tutorial_optimization.md",
"repo_id": "transformers",
"token_count": 14834
} | 342 |
<!--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/pipelines.md/0 | {
"file_path": "transformers/docs/source/en/main_classes/pipelines.md",
"repo_id": "transformers",
"token_count": 4683
} | 343 |
<!--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/barthez.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/barthez.md",
"repo_id": "transformers",
"token_count": 818
} | 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/en/model_doc/bort.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/bort.md",
"repo_id": "transformers",
"token_count": 867
} | 345 |
<!--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/colpali.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/colpali.md",
"repo_id": "transformers",
"token_count": 1169
} | 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/en/model_doc/deformable_detr.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/deformable_detr.md",
"repo_id": "transformers",
"token_count": 1149
} | 347 |
<!--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/dpr.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/dpr.md",
"repo_id": "transformers",
"token_count": 1170
} | 348 |
<!--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/flan-ul2.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/flan-ul2.md",
"repo_id": "transformers",
"token_count": 785
} | 349 |
<!--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/hubert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/hubert.md",
"repo_id": "transformers",
"token_count": 1460
} | 350 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/m2m_100.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/m2m_100.md",
"repo_id": "transformers",
"token_count": 2671
} | 351 |
<!--Copyright 2023 Mistral AI and The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicabl... | transformers/docs/source/en/model_doc/mistral.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/mistral.md",
"repo_id": "transformers",
"token_count": 3313
} | 352 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/mt5.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/mt5.md",
"repo_id": "transformers",
"token_count": 1400
} | 353 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/phobert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/phobert.md",
"repo_id": "transformers",
"token_count": 776
} | 354 |
<!--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/realm.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/realm.md",
"repo_id": "transformers",
"token_count": 1018
} | 355 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the MIT License; you may not use this file except in compliance with
the License.
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
an "AS IS" BASIS, WITHOUT WARRANTIES OR CON... | transformers/docs/source/en/model_doc/superglue.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/superglue.md",
"repo_id": "transformers",
"token_count": 1984
} | 356 |
<!--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/trajectory_transformer.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/trajectory_transformer.md",
"repo_id": "transformers",
"token_count": 776
} | 357 |
<!--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/wav2vec2_phoneme.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/wav2vec2_phoneme.md",
"repo_id": "transformers",
"token_count": 851
} | 358 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/zamba.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/zamba.md",
"repo_id": "transformers",
"token_count": 1045
} | 359 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/perf_train_cpu.md/0 | {
"file_path": "transformers/docs/source/en/perf_train_cpu.md",
"repo_id": "transformers",
"token_count": 1331
} | 360 |
<!--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/bitsandbytes.md/0 | {
"file_path": "transformers/docs/source/en/quantization/bitsandbytes.md",
"repo_id": "transformers",
"token_count": 4147
} | 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
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