text stringlengths 5 409k | id stringlengths 14 178 | metadata dict | __index_level_0__ int64 0 572 |
|---|---|---|---|
# https://github.com/fpgaminer/GPTQ-triton
"""
Mostly the same as the autotuner in Triton, but with a few changes like using 40 runs instead of 100.
"""
import builtins
import math
import time
from typing import Dict
import triton
class Autotuner(triton.KernelInterface):
def __init__(
self,
fn,
... | text-generation-inference/server/text_generation_server/layers/gptq/custom_autotune.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/layers/gptq/custom_autotune.py",
"repo_id": "text-generation-inference",
"token_count": 5117
} | 250 |
import torch
import math
from torch import nn
from torch.nn import functional as F
from typing import Optional, Tuple
from text_generation_server.layers import TensorParallelEmbedding, FastLinear
from text_generation_server.layers.tensor_parallel import TensorParallelHead
from text_generation_server.utils.speculate imp... | text-generation-inference/server/text_generation_server/layers/mlp.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/layers/mlp.py",
"repo_id": "text-generation-inference",
"token_count": 5007
} | 251 |
# coding=utf-8
# Copyright 2022 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 requi... | text-generation-inference/server/text_generation_server/models/custom_modeling/flash_dbrx_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/flash_dbrx_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 12518
} | 252 |
import torch
import torch.distributed
from torch import nn
from transformers.activations import ACT2FN
from typing import Optional, List, Tuple
from text_generation_server.layers.attention import (
paged_attention,
attention,
Seqlen,
)
from text_generation_server.layers import (
TensorParallelRowLinea... | text-generation-inference/server/text_generation_server/models/custom_modeling/flash_santacoder_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/flash_santacoder_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 8648
} | 253 |
# imlementation of the PhiModel and PhiForCausalLM classes
import torch
import torch.distributed
import math
from torch import nn
from typing import Optional, List, Tuple
from transformers.configuration_utils import PretrainedConfig
from transformers.modeling_outputs import CausalLMOutputWithPast
from text_generatio... | text-generation-inference/server/text_generation_server/models/custom_modeling/phi_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/phi_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 5696
} | 254 |
import math
from typing import List, Optional
import torch
from opentelemetry import trace
from transformers import AutoTokenizer, AutoModelForCausalLM
import transformers.modeling_utils
from text_generation_server.models.flash_causal_lm import FlashCausalLM
from text_generation_server.utils import initialize_torch_d... | text-generation-inference/server/text_generation_server/models/transformers_flash_causal_lm.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/transformers_flash_causal_lm.py",
"repo_id": "text-generation-inference",
"token_count": 4758
} | 255 |
import copy
from abc import ABC
from collections import defaultdict
from typing import TYPE_CHECKING, Dict, List, Tuple, Type, Union
from text_generation_server.utils.merges.utils import (
calculate_majority_sign_mask,
disjoint_merge,
prune,
)
import torch
if TYPE_CHECKING:
from text_generation_server.... | text-generation-inference/server/text_generation_server/utils/merges/strategies.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/merges/strategies.py",
"repo_id": "text-generation-inference",
"token_count": 3074
} | 256 |
## How to release
# Before the release
Simple checklist on how to make releases for `tokenizers`.
- Freeze `master` branch.
- Run all tests (Check CI has properly run)
- If any significant work, check benchmarks:
- `cd tokenizers && cargo bench` (needs to be run on latest release tag to measure difference if it's ... | tokenizers/RELEASE.md/0 | {
"file_path": "tokenizers/RELEASE.md",
"repo_id": "tokenizers",
"token_count": 1519
} | 257 |
/* eslint-disable */
var globRequire = require
console.log = (..._args: any[]) => {}
describe('quicktourExample', () => {
function require(mod: string) {
if (mod.startsWith('tokenizers')) {
return globRequire('../../')
} else {
return globRequire(mod)
}
}
it.skip('trains the tokenizer',... | tokenizers/bindings/node/examples/documentation/quicktour.test.ts/0 | {
"file_path": "tokenizers/bindings/node/examples/documentation/quicktour.test.ts",
"repo_id": "tokenizers",
"token_count": 2324
} | 258 |
{
"name": "tokenizers-android-arm-eabi",
"version": "0.13.4-rc1",
"os": [
"android"
],
"cpu": [
"arm"
],
"main": "tokenizers.android-arm-eabi.node",
"files": [
"tokenizers.android-arm-eabi.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
... | tokenizers/bindings/node/npm/android-arm-eabi/package.json/0 | {
"file_path": "tokenizers/bindings/node/npm/android-arm-eabi/package.json",
"repo_id": "tokenizers",
"token_count": 269
} | 259 |
{
"name": "tokenizers-linux-x64-gnu",
"version": "0.13.4-rc1",
"os": [
"linux"
],
"cpu": [
"x64"
],
"main": "tokenizers.linux-x64-gnu.node",
"files": [
"tokenizers.linux-x64-gnu.node"
],
"description": "Tokenizers platform specific bindings",
"keywords": [
"napi-rs",
"NAPI",
... | tokenizers/bindings/node/npm/linux-x64-gnu/package.json/0 | {
"file_path": "tokenizers/bindings/node/npm/linux-x64-gnu/package.json",
"repo_id": "tokenizers",
"token_count": 289
} | 260 |
use crate::arc_rwlock_serde;
use napi::bindgen_prelude::*;
use napi_derive::napi;
use serde::{Deserialize, Serialize};
use std::sync::{Arc, RwLock};
use tk::normalizers::NormalizerWrapper;
use tk::NormalizedString;
use tokenizers as tk;
/// Normalizer
#[derive(Debug, Clone, Serialize, Deserialize)]
#[napi]
pub struct ... | tokenizers/bindings/node/src/normalizers.rs/0 | {
"file_path": "tokenizers/bindings/node/src/normalizers.rs",
"repo_id": "tokenizers",
"token_count": 1886
} | 261 |
include Cargo.toml
include pyproject.toml
include rust-toolchain
include ../../LICENSE
recursive-include src *
recursive-include tokenizers-lib *
recursive-exclude tokenizers-lib/target *
| tokenizers/bindings/python/MANIFEST.in/0 | {
"file_path": "tokenizers/bindings/python/MANIFEST.in",
"repo_id": "tokenizers",
"token_count": 57
} | 262 |
from typing import Dict, List, Optional, Tuple, Union
from tokenizers import AddedToken, EncodeInput, Encoding, InputSequence, Tokenizer
from tokenizers.decoders import Decoder
from tokenizers.models import Model
from tokenizers.normalizers import Normalizer
from tokenizers.pre_tokenizers import PreTokenizer
from toke... | tokenizers/bindings/python/py_src/tokenizers/implementations/base_tokenizer.py/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/implementations/base_tokenizer.py",
"repo_id": "tokenizers",
"token_count": 6036
} | 263 |
import itertools
import os
import re
from string import Template
from typing import Any, Callable, Dict, List, NamedTuple, Optional, Tuple
from tokenizers import Encoding, Tokenizer
dirname = os.path.dirname(__file__)
css_filename = os.path.join(dirname, "visualizer-styles.css")
with open(css_filename) as f:
css... | tokenizers/bindings/python/py_src/tokenizers/tools/visualizer.py/0 | {
"file_path": "tokenizers/bindings/python/py_src/tokenizers/tools/visualizer.py",
"repo_id": "tokenizers",
"token_count": 6751
} | 264 |
use std::convert::TryInto;
use std::sync::Arc;
use std::sync::RwLock;
use crate::encoding::PyEncoding;
use crate::error::ToPyResult;
use pyo3::exceptions;
use pyo3::exceptions::PyException;
use pyo3::prelude::*;
use pyo3::types::*;
use serde::ser::SerializeStruct;
use serde::Deserializer;
use serde::Serializer;
use se... | tokenizers/bindings/python/src/processors.rs/0 | {
"file_path": "tokenizers/bindings/python/src/processors.rs",
"repo_id": "tokenizers",
"token_count": 14543
} | 265 |
import pickle
import pytest
from tokenizers.models import BPE, Model, WordLevel, WordPiece
from ..utils import bert_files, data_dir, roberta_files
class TestBPE:
def test_instantiate(self, roberta_files):
assert isinstance(BPE(), Model)
assert isinstance(BPE(), BPE)
vocab = {"a": 0, "b"... | tokenizers/bindings/python/tests/bindings/test_models.py/0 | {
"file_path": "tokenizers/bindings/python/tests/bindings/test_models.py",
"repo_id": "tokenizers",
"token_count": 2304
} | 266 |
# Visualizer
<tokenizerslangcontent>
<python>
## Annotation
[[autodoc]] tokenizers.tools.Annotation
## EncodingVisualizer
[[autodoc]] tokenizers.tools.EncodingVisualizer
- __call__
</python>
<rust>
The Rust API Reference is available directly on the [Docs.rs](https://docs.rs/tokenizers/latest/tokenizers/) webs... | tokenizers/docs/source-doc-builder/api/visualizer.mdx/0 | {
"file_path": "tokenizers/docs/source-doc-builder/api/visualizer.mdx",
"repo_id": "tokenizers",
"token_count": 134
} | 267 |
# Changelog
All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [0.13.2]
- Python only changes
## [0.13.1]
- [#1072] Fixing ... | tokenizers/tokenizers/CHANGELOG.md/0 | {
"file_path": "tokenizers/tokenizers/CHANGELOG.md",
"repo_id": "tokenizers",
"token_count": 3387
} | 268 |
<div align="center">
<h1><code>wasm-pack-template</code></h1>
<strong>A template for kick starting a Rust and WebAssembly project using <a href="https://github.com/rustwasm/wasm-pack">wasm-pack</a>.</strong>
<p>
<a href="https://travis-ci.org/rustwasm/wasm-pack-template"><img src="https://img.shields.io/tr... | tokenizers/tokenizers/examples/unstable_wasm/README.md/0 | {
"file_path": "tokenizers/tokenizers/examples/unstable_wasm/README.md",
"repo_id": "tokenizers",
"token_count": 811
} | 269 |
stable
| tokenizers/tokenizers/rust-toolchain/0 | {
"file_path": "tokenizers/tokenizers/rust-toolchain",
"repo_id": "tokenizers",
"token_count": 2
} | 270 |
use rand::distributions::WeightedIndex;
use rand::prelude::*;
use std::cell::RefCell;
use std::cmp::{min, Ordering};
use std::collections::BinaryHeap;
use std::rc::Rc;
type NodeRef = Rc<RefCell<Node>>;
type HypothesisRef = Rc<RefCell<Hypothesis>>;
type Agenda = BinaryHeap<Hypothesis>;
struct Hypothesis {
node_ref... | tokenizers/tokenizers/src/models/unigram/lattice.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/unigram/lattice.rs",
"repo_id": "tokenizers",
"token_count": 12682
} | 271 |
use crate::tokenizer::{NormalizedString, Normalizer, Result};
use serde::{Deserialize, Serialize};
#[derive(Clone, Debug, Deserialize, Serialize)]
#[serde(tag = "type")]
pub struct Prepend {
pub prepend: String,
}
impl Prepend {
pub fn new(prepend: String) -> Self {
Self { prepend }
}
}
impl Norm... | tokenizers/tokenizers/src/normalizers/prepend.rs/0 | {
"file_path": "tokenizers/tokenizers/src/normalizers/prepend.rs",
"repo_id": "tokenizers",
"token_count": 856
} | 272 |
// Generated by modified Perl script at https://github.com/google/sentencepiece/blob/master/data/gen_unicode_scripts_code.pl
// Unicode scripts : https://gist.github.com/Narsil/07556f26dc84a6baeff4d499e68d3cd2
// Rust adaptation : https://gist.github.com/Narsil/1df9fbbf5296a8d4d62de55dcb2fe700
#[derive(PartialEq, Debu... | tokenizers/tokenizers/src/pre_tokenizers/unicode_scripts/scripts.rs/0 | {
"file_path": "tokenizers/tokenizers/src/pre_tokenizers/unicode_scripts/scripts.rs",
"repo_id": "tokenizers",
"token_count": 46440
} | 273 |
use crate::Result;
use hf_hub::{api::sync::ApiBuilder, Repo, RepoType};
use std::collections::HashMap;
use std::path::PathBuf;
/// Defines the additional parameters available for the `from_pretrained` function
#[derive(Debug, Clone)]
pub struct FromPretrainedParameters {
pub revision: String,
pub user_agent: H... | tokenizers/tokenizers/src/utils/from_pretrained.rs/0 | {
"file_path": "tokenizers/tokenizers/src/utils/from_pretrained.rs",
"repo_id": "tokenizers",
"token_count": 906
} | 274 |
#[cfg(not(debug_assertions))]
use assert_approx_eq::assert_approx_eq;
use std::collections::HashMap;
use std::fs::read_to_string;
use std::path::Path;
#[cfg(not(debug_assertions))]
use tokenizers::models::unigram::Lattice;
use tokenizers::models::unigram::Unigram;
use tokenizers::models::unigram::UnigramTrainer;
use to... | tokenizers/tokenizers/tests/unigram.rs/0 | {
"file_path": "tokenizers/tokenizers/tests/unigram.rs",
"repo_id": "tokenizers",
"token_count": 1697
} | 275 |
// Based on [this tutorial](https://github.com/jsdoc2md/jsdoc-to-markdown/wiki/How-to-create-one-output-file-per-class).
import fs from 'fs';
import path from 'path';
import url from 'url';
import jsdoc2md from 'jsdoc-to-markdown';
const docs = path.dirname(path.dirname(url.fileURLToPath(import.meta.url)));
const ro... | transformers.js/docs/scripts/generate.js/0 | {
"file_path": "transformers.js/docs/scripts/generate.js",
"repo_id": "transformers.js",
"token_count": 790
} | 276 |
# Installation
<include>
{
"path": "../snippets/2_installation.snippet"
}
</include>
| transformers.js/docs/source/installation.md/0 | {
"file_path": "transformers.js/docs/source/installation.md",
"repo_id": "transformers.js",
"token_count": 38
} | 277 |
# Transformers.js - Sample Electron application
An example project to show how to run 🤗 Transformers in an [Electron](https://www.electronjs.org/) application.
## Getting Started
1. Clone the repo and enter the project directory:
```bash
git clone https://github.com/huggingface/transformers.js.git
cd tr... | transformers.js/examples/electron/README.md/0 | {
"file_path": "transformers.js/examples/electron/README.md",
"repo_id": "transformers.js",
"token_count": 528
} | 278 |
// background.js - Handles requests from the UI, runs the model, then sends back a response
import { pipeline, env } from '@xenova/transformers';
// Skip initial check for local models, since we are not loading any local models.
env.allowLocalModels = false;
// Due to a bug in onnxruntime-web, we must disable multit... | transformers.js/examples/extension/src/background.js/0 | {
"file_path": "transformers.js/examples/extension/src/background.js",
"repo_id": "transformers.js",
"token_count": 1164
} | 279 |
/** @type {import('tailwindcss').Config} */
module.exports = {
content: [
'./src/pages/**/*.{js,ts,jsx,tsx,mdx}',
'./src/components/**/*.{js,ts,jsx,tsx,mdx}',
'./src/app/**/*.{js,ts,jsx,tsx,mdx}',
],
theme: {
extend: {
backgroundImage: {
'gradient-radial': 'radial-gradient(var(--tw-g... | transformers.js/examples/next-client/tailwind.config.js/0 | {
"file_path": "transformers.js/examples/next-client/tailwind.config.js",
"repo_id": "transformers.js",
"token_count": 236
} | 280 |
export default function Progress({ text, percentage }) {
percentage = percentage ?? 0;
return (
<div className="progress-container">
<div className='progress-bar' style={{ 'width': `${percentage}%` }}>{text} ({`${percentage.toFixed(2)}%`})</div>
</div>
);
}
| transformers.js/examples/react-translator/src/components/Progress.jsx/0 | {
"file_path": "transformers.js/examples/react-translator/src/components/Progress.jsx",
"repo_id": "transformers.js",
"token_count": 99
} | 281 |
{
"name": "segment-anything-client",
"private": true,
"version": "0.0.0",
"type": "module",
"scripts": {
"dev": "vite",
"build": "vite build",
"preview": "vite preview"
},
"dependencies": {
"@huggingface/transformers": "^3.0.0-alpha.0"
},
"devDependencies": {
"vite": "^5.2.9"
}
}... | transformers.js/examples/segment-anything-client/package.json/0 | {
"file_path": "transformers.js/examples/segment-anything-client/package.json",
"repo_id": "transformers.js",
"token_count": 152
} | 282 |
{
"extends": "next/core-web-vitals"
}
| transformers.js/examples/semantic-image-search/.eslintrc.json/0 | {
"file_path": "transformers.js/examples/semantic-image-search/.eslintrc.json",
"repo_id": "transformers.js",
"token_count": 20
} | 283 |
export const SPEAKERS = {
"US female 1": "cmu_us_slt_arctic-wav-arctic_a0001",
"US female 2": "cmu_us_clb_arctic-wav-arctic_a0001",
"US male 1": "cmu_us_bdl_arctic-wav-arctic_a0003",
"US male 2": "cmu_us_rms_arctic-wav-arctic_a0003",
"Canadian male": "cmu_us_jmk_arctic-wav-arctic_a0002",
"Scotti... | transformers.js/examples/text-to-speech-client/src/constants.js/0 | {
"file_path": "transformers.js/examples/text-to-speech-client/src/constants.js",
"repo_id": "transformers.js",
"token_count": 247
} | 284 |
import { Fragment } from 'react';
const COLOURS = [
'bg-purple-300',
'bg-green-300',
'bg-yellow-300',
'bg-red-300',
'bg-blue-300',
]
export function Token({ text, position, margin }) {
const textWithLineBreaks = text.split('\n').map((line, index, array) => (
<Fragment key={index}>
... | transformers.js/examples/tokenizer-playground/src/components/Token.jsx/0 | {
"file_path": "transformers.js/examples/tokenizer-playground/src/components/Token.jsx",
"repo_id": "transformers.js",
"token_count": 287
} | 285 |
from enum import Enum
from tqdm import tqdm
from typing import Set, List, Optional
import onnx
import os
from dataclasses import dataclass, field
from transformers import HfArgumentParser
from optimum.onnx.graph_transformations import check_and_save_model
from onnxruntime.quantization import QuantType, Quantization... | transformers.js/scripts/quantize.py/0 | {
"file_path": "transformers.js/scripts/quantize.py",
"repo_id": "transformers.js",
"token_count": 5609
} | 286 |
import { FEATURE_EXTRACTOR_NAME, GITHUB_ISSUE_URL } from '../../utils/constants.js';
import { getModelJSON } from '../../utils/hub.js';
import { FeatureExtractor } from '../../base/feature_extraction_utils.js';
import * as AllFeatureExtractors from '../feature_extractors.js';
export class AutoFeatureExtractor {
... | transformers.js/src/models/auto/feature_extraction_auto.js/0 | {
"file_path": "transformers.js/src/models/auto/feature_extraction_auto.js",
"repo_id": "transformers.js",
"token_count": 367
} | 287 |
import {
ImageProcessor,
} from "../../base/image_processors_utils.js";
export class GLPNFeatureExtractor extends ImageProcessor { }
| transformers.js/src/models/glpn/image_processing_glpn.js/0 | {
"file_path": "transformers.js/src/models/glpn/image_processing_glpn.js",
"repo_id": "transformers.js",
"token_count": 44
} | 288 |
import {
ImageProcessor,
} from "../../base/image_processors_utils.js";
import { cat, Tensor } from "../../utils/tensor.js";
export class Qwen2VLImageProcessor extends ImageProcessor {
async _call(images, ...args) {
const { pixel_values, original_sizes, reshaped_input_sizes } = await super._call(images... | transformers.js/src/models/qwen2_vl/image_processing_qwen2_vl.js/0 | {
"file_path": "transformers.js/src/models/qwen2_vl/image_processing_qwen2_vl.js",
"repo_id": "transformers.js",
"token_count": 888
} | 289 |
import { AutoTokenizer } from "../../tokenizers.js";
import { AutoFeatureExtractor } from "../auto/feature_extraction_auto.js";
import { Processor } from "../../base/processing_utils.js";
export class Wav2Vec2Processor extends Processor {
static tokenizer_class = AutoTokenizer
static feature_extractor_class = ... | transformers.js/src/models/wav2vec2/processing_wav2vec2.js/0 | {
"file_path": "transformers.js/src/models/wav2vec2/processing_wav2vec2.js",
"repo_id": "transformers.js",
"token_count": 211
} | 290 |
/**
* The list of devices supported by Transformers.js
*/
export const DEVICE_TYPES = Object.freeze({
auto: 'auto', // Auto-detect based on device and environment
gpu: 'gpu', // Auto-detect GPU
cpu: 'cpu', // CPU
wasm: 'wasm', // WebAssembly
webgpu: 'webgpu', // WebGPU
cuda: 'cuda', // CUDA
... | transformers.js/src/utils/devices.js/0 | {
"file_path": "transformers.js/src/utils/devices.js",
"repo_id": "transformers.js",
"token_count": 247
} | 291 |
import { AutoImageProcessor, DetrFeatureExtractor } 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("DetrFeatureExtractor", () => {
const model_id = "X... | transformers.js/tests/models/detr/test_image_processing_detr.js/0 | {
"file_path": "transformers.js/tests/models/detr/test_image_processing_detr.js",
"repo_id": "transformers.js",
"token_count": 498
} | 292 |
import { GPT2Tokenizer, GPTBigCodeForCausalLM } 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("GPTBigCodeForCausalLM", () => {
const model_id = "hf-internal-testing... | transformers.js/tests/models/gpt_bigcode/test_modeling_gpt_bigcode.js/0 | {
"file_path": "transformers.js/tests/models/gpt_bigcode/test_modeling_gpt_bigcode.js",
"repo_id": "transformers.js",
"token_count": 775
} | 293 |
import { LlamaTokenizer, CLIPImageProcessor, LlavaForConditionalGeneration, 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 prompts = [
// Example adapted fro... | transformers.js/tests/models/llava/test_modeling_llava.js/0 | {
"file_path": "transformers.js/tests/models/llava/test_modeling_llava.js",
"repo_id": "transformers.js",
"token_count": 1443
} | 294 |
import { AutoFeatureExtractor, SeamlessM4TFeatureExtractor } 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";
const sum = (array) => Number(array.reduce((a, b) => a + b, array instan... | transformers.js/tests/models/seamless_m4t/test_feature_extraction_seamless_m4t.js/0 | {
"file_path": "transformers.js/tests/models/seamless_m4t/test_feature_extraction_seamless_m4t.js",
"repo_id": "transformers.js",
"token_count": 1089
} | 295 |
import { pipeline, Text2TextGenerationPipeline } 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 = "text2text-generation";
export default () => {
describe("Text to Text Generation", () => {... | transformers.js/tests/pipelines/test_pipelines_text2text_generation.js/0 | {
"file_path": "transformers.js/tests/pipelines/test_pipelines_text2text_generation.js",
"repo_id": "transformers.js",
"token_count": 520
} | 296 |
import { RawImage, rand } from "../../src/transformers.js";
import { load_cached_image } from "../asset_cache.js";
const TEST_IMAGES = {
rgba: new RawImage(new Uint8ClampedArray([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]), 2, 3, 4),
rgb: new RawImage(new Uint8ClampedArra... | transformers.js/tests/utils/image.test.js/0 | {
"file_path": "transformers.js/tests/utils/image.test.js",
"repo_id": "transformers.js",
"token_count": 1496
} | 297 |
# Benchmarks
You might want to add new benchmarks.
You will need to define a python function named `run_benchmark` in your python file and the file must be located in this `benchmark/` directory.
The expected function signature is the following:
```py
def run_benchmark(logger: Logger, branch: str, commit_id: str, c... | transformers/benchmark/README.md/0 | {
"file_path": "transformers/benchmark/README.md",
"repo_id": "transformers",
"token_count": 936
} | 298 |
FROM python:3.9-slim
ENV PYTHONDONTWRITEBYTECODE=1
USER root
RUN apt-get update && apt-get install -y libsndfile1-dev espeak-ng time git
RUN apt-get install -y g++ cmake
ENV UV_PYTHON=/usr/local/bin/python
RUN pip --no-cache-dir install uv && uv venv
RUN uv pip install --no-cache-dir -U pip setuptools albumentations se... | transformers/docker/examples-tf.dockerfile/0 | {
"file_path": "transformers/docker/examples-tf.dockerfile",
"repo_id": "transformers",
"token_count": 222
} | 299 |
FROM rocm/dev-ubuntu-22.04:6.2.4
LABEL maintainer="Hugging Face"
ARG DEBIAN_FRONTEND=noninteractive
ARG PYTORCH='2.6.0'
ARG TORCH_VISION='0.21.0'
ARG TORCH_AUDIO='2.6.0'
ARG ROCM='6.2.4'
RUN apt update && \
apt install -y --no-install-recommends \
libaio-dev \
git \
# These are required to build deeps... | transformers/docker/transformers-pytorch-deepspeed-amd-gpu/Dockerfile/0 | {
"file_path": "transformers/docker/transformers-pytorch-deepspeed-amd-gpu/Dockerfile",
"repo_id": "transformers",
"token_count": 711
} | 300 |
# الوكلاء والأدوات
[[open-in-colab]]
### ما هو الوكيل؟
يمكن للنظم اللغوية الكبيرة (LLMs) التي تم تدريبها على أداء [نمذجة اللغة السببية](./tasks/language_modeling.) التعامل مع مجموعة واسعة من المهام، ولكنها غالبًا ما تواجه صعوبات في المهام الأساسية مثل المنطق والحساب والبحث. وعندما يتم استدعاؤها في مجالات لا تؤدي فيه... | transformers/docs/source/ar/agents.md/0 | {
"file_path": "transformers/docs/source/ar/agents.md",
"repo_id": "transformers",
"token_count": 14313
} | 301 |
# تحسين نماذج اللغة الكبيرة من حيث السرعة والذاكرة
[[open-in-colab]]
تحقق نماذج اللغة الكبيرة (LLMs) مثل GPT3/4، [Falcon](https://huggingface.co/tiiuae/falcon-40b)، و [Llama](https://huggingface.co/meta-llama/Llama-2-70b-hf) تقدمًا سريعًا في قدرتها على معالجة المهام التي تركز على الإنسان، مما يجعلها أدوات أساسية في ... | transformers/docs/source/ar/llm_tutorial_optimization.md/0 | {
"file_path": "transformers/docs/source/ar/llm_tutorial_optimization.md",
"repo_id": "transformers",
"token_count": 37741
} | 302 |
# تشغيل التدريب على Amazon SageMaker
تم نقل التوثيق إلى [hf.co/docs/sagemaker](https://huggingface.co/docs/sagemaker). وسيتم إزالة هذه الصفحة في الإصدار 5.0 من برنامج Transformers.
### جدول المحتويات
- [تدريب نماذج Hugging Face على Amazon SageMaker باستخدام SageMaker Python SDK](https://huggingface.co/docs/sagemaker... | transformers/docs/source/ar/sagemaker.md/0 | {
"file_path": "transformers/docs/source/ar/sagemaker.md",
"repo_id": "transformers",
"token_count": 256
} | 303 |
# Trainer
تُتيح وحدة [`Trainer`] حلقة تدريب وتقييم متكاملة لنماذج PyTorch المطبقة في مكتبة Transformers. تحتاج فقط إلى تمرير المكونات الضرورية للتدريب (النموذج، والمجزىء النصى، ومجموعة البيانات، دالة التقييم، معلمات التدريب الفائقة، إلخ)، وستتولى فئة [`Trainer`] الباقي. هذا يُسهّل بدء التدريب بشكل أسرع دون كتابة حلقة ... | transformers/docs/source/ar/trainer.md/0 | {
"file_path": "transformers/docs/source/ar/trainer.md",
"repo_id": "transformers",
"token_count": 17897
} | 304 |
<!---
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/docs/source/de/pr_checks.md/0 | {
"file_path": "transformers/docs/source/de/pr_checks.md",
"repo_id": "transformers",
"token_count": 4986
} | 305 |
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"token_count": 2654
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"file_path": "transformers/docs/source/en/generation_strategies.md",
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"token_count": 9472
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"file_path": "transformers/docs/source/en/kv_cache.md",
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Unless required by applicable law or agreed... | transformers/docs/source/en/main_classes/onnx.md/0 | {
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"repo_id": "transformers",
"token_count": 523
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Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/bamba.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/bamba.md",
"repo_id": "transformers",
"token_count": 796
} | 310 |
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Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/deberta-v2.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/deberta-v2.md",
"repo_id": "transformers",
"token_count": 1846
} | 311 |
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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/model_doc/distilbert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/distilbert.md",
"repo_id": "transformers",
"token_count": 7479
} | 312 |
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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/model_doc/falcon_mamba.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/falcon_mamba.md",
"repo_id": "transformers",
"token_count": 1451
} | 313 |
<!--Copyright 2024 Kyutai 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
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Unless required by applicable la... | transformers/docs/source/en/model_doc/helium.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/helium.md",
"repo_id": "transformers",
"token_count": 1804
} | 314 |
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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/model_doc/longt5.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/longt5.md",
"repo_id": "transformers",
"token_count": 1797
} | 315 |
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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/model_doc/mpnet.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/mpnet.md",
"repo_id": "transformers",
"token_count": 1255
} | 316 |
<!--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/model_doc/olmo2.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/olmo2.md",
"repo_id": "transformers",
"token_count": 427
} | 317 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
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Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/phi.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/phi.md",
"repo_id": "transformers",
"token_count": 2612
} | 318 |
<!--Copyright 2024 The Qwen Team 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
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Unless required by applic... | transformers/docs/source/en/model_doc/qwen2_moe.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/qwen2_moe.md",
"repo_id": "transformers",
"token_count": 1147
} | 319 |
<!--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/en/model_doc/rwkv.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/rwkv.md",
"repo_id": "transformers",
"token_count": 2548
} | 320 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
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Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/squeezebert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/squeezebert.md",
"repo_id": "transformers",
"token_count": 1205
} | 321 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
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Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/time_series_transformer.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/time_series_transformer.md",
"repo_id": "transformers",
"token_count": 1371
} | 322 |
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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/model_doc/video_llava.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/video_llava.md",
"repo_id": "transformers",
"token_count": 3077
} | 323 |
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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/xmod.md",
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"token_count": 1496
} | 324 |
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"file_path": "transformers/docs/source/en/perf_infer_gpu_multi.md",
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"token_count": 1297
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"token_count": 1243
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"file_path": "transformers/docs/source/en/quantization/torchao.md",
"repo_id": "transformers",
"token_count": 1627
} | 327 |
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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/tasks/keypoint_detection.md",
"repo_id": "transformers",
"token_count": 2400
} | 328 |
- 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": 1202
} | 329 |
<!---
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
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"file_path": "transformers/docs/source/es/model_memory_anatomy.md",
"repo_id": "transformers",
"token_count": 4604
} | 330 |
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"file_path": "transformers/docs/source/es/tasks/asr.md",
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"token_count": 6033
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"file_path": "transformers/docs/source/it/autoclass_tutorial.md",
"repo_id": "transformers",
"token_count": 1960
} | 332 |
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"token_count": 1847
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"token_count": 8070
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