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#include "q_matrix.cuh" #include "matrix_view.cuh" #include "util.cuh" #include "quant/qdq_2.cuh" #include "quant/qdq_3.cuh" #include "quant/qdq_4.cuh" #include "quant/qdq_5.cuh" #include "quant/qdq_6.cuh" #include "quant/qdq_8.cuh" #define BLOCK_KN_SIZE 128 #define THREADS_X 32 #define THREADS_Y 32 // Shuffle quan...
text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/q_matrix.cu/0
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import torch from loguru import logger from transformers.configuration_utils import PretrainedConfig from transformers.models.auto import modeling_auto from huggingface_hub import hf_hub_download from typing import Optional from pathlib import Path from text_generation_server.utils.speculate import get_speculate, set...
text-generation-inference/server/text_generation_server/models/__init__.py/0
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# 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/idefics_config.py/0
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import torch from typing import Optional from text_generation_server.models.flash_mistral import BaseFlashMistral from text_generation_server.models.custom_modeling.flash_mixtral_modeling import ( MixtralConfig, FlashMixtralForCausalLM, ) class FlashMixtral(BaseFlashMistral): def __init__( self,...
text-generation-inference/server/text_generation_server/models/flash_mixtral.py/0
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import torch import torch.distributed from transformers import AutoConfig, AutoTokenizer from typing import Optional, List, Tuple from text_generation_server.models import CausalLM from text_generation_server.models.custom_modeling.phi_modeling import ( PhiConfig, PhiForCausalLM, ) from text_generation_server...
text-generation-inference/server/text_generation_server/models/phi.py/0
{ "file_path": "text-generation-inference/server/text_generation_server/models/phi.py", "repo_id": "text-generation-inference", "token_count": 1000 }
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import torch from exllama_kernels import make_q4, q4_matmul, prepare_buffers, set_tuning_params # Dummy tensor to pass instead of g_idx since there is no way to pass "None" to a C++ extension none_tensor = torch.empty((1, 1), device="meta") def ext_make_q4(qweight, qzeros, scales, g_idx, device): """Construct Q4...
text-generation-inference/server/text_generation_server/utils/gptq/exllama.py/0
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## 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
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/* 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 }
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{ "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 }
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{ "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 }
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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 }
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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 }
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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 }
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# 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
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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 }
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import json import pickle import pytest from tokenizers.pre_tokenizers import ( BertPreTokenizer, ByteLevel, CharDelimiterSplit, Digits, Metaspace, PreTokenizer, Punctuation, Sequence, Split, UnicodeScripts, Whitespace, WhitespaceSplit, ) class TestByteLevel: def ...
tokenizers/bindings/python/tests/bindings/test_pre_tokenizers.py/0
{ "file_path": "tokenizers/bindings/python/tests/bindings/test_pre_tokenizers.py", "repo_id": "tokenizers", "token_count": 4218 }
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# Minimal makefile for Sphinx documentation # # You can set these variables from the command line, and also # from the environment for those with `?=` SPHINXOPTS ?= SPHINXBUILD ?= sphinx-build BUILDDIR ?= build SOURCEDIR = source # Put it first so that "make" without argument is like "make html_all". h...
tokenizers/docs/Makefile/0
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<!-- DISABLE-FRONTMATTER-SECTIONS --> # Tokenizers Fast State-of-the-art tokenizers, optimized for both research and production [🤗 Tokenizers](https://github.com/huggingface/tokenizers) provides an implementation of today's most used tokenizers, with a focus on performance and versatility. These tokenizers are also...
tokenizers/docs/source-doc-builder/index.mdx/0
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Input sequences ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ These types represent all the different kinds of sequence that can be used as input of a Tokenizer. Globally, any sequence can be either a string or a list of strings, according to the operating mode of...
tokenizers/docs/source/api/python.inc/0
{ "file_path": "tokenizers/docs/source/api/python.inc", "repo_id": "tokenizers", "token_count": 562 }
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#!/usr/bin/env node const { spawn } = require("child_process"); const fs = require("fs"); let folderName = '.'; if (process.argv.length >= 3) { folderName = process.argv[2]; if (!fs.existsSync(folderName)) { fs.mkdirSync(folderName); } } const clone = spawn("git", ["clone", "https://github.com/rustwasm/cr...
tokenizers/tokenizers/examples/unstable_wasm/www/.bin/create-wasm-app.js/0
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use crate::tokenizer::{Decoder, Result}; use monostate::MustBe; use serde::{Deserialize, Serialize}; #[derive(Clone, Debug, Serialize, Deserialize, Default)] /// Fuse simply fuses all tokens into one big string. /// It's usually the last decoding step anyway, but this /// decoder exists incase some decoders need to ha...
tokenizers/tokenizers/src/decoders/fuse.rs/0
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use crate::models::unigram::{lattice::Lattice, model::Unigram}; use crate::tokenizer::{AddedToken, Result, Trainer}; use crate::utils::parallelism::*; use crate::utils::progress::{ProgressBar, ProgressStyle}; use log::debug; use serde::{Deserialize, Serialize}; use std::cmp::Reverse; use std::collections::{HashMap, Has...
tokenizers/tokenizers/src/models/unigram/trainer.rs/0
{ "file_path": "tokenizers/tokenizers/src/models/unigram/trainer.rs", "repo_id": "tokenizers", "token_count": 15681 }
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use crate::tokenizer::{PreTokenizedString, PreTokenizer, Result, SplitDelimiterBehavior}; use crate::utils::macro_rules_attribute; use unicode_categories::UnicodeCategories; fn is_bert_punc(x: char) -> bool { char::is_ascii_punctuation(&x) || x.is_punctuation() } #[derive(Copy, Clone, Debug, PartialEq, Eq)] #[mac...
tokenizers/tokenizers/src/pre_tokenizers/bert.rs/0
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use crate::processors::PostProcessorWrapper; use crate::tokenizer::{Encoding, PostProcessor, Result}; use crate::utils::macro_rules_attribute; use serde::{Deserialize, Serialize}; #[derive(Clone, Debug, PartialEq, Eq)] #[macro_rules_attribute(impl_serde_type!)] pub struct Sequence { processors: Vec<PostProcessorWr...
tokenizers/tokenizers/src/processors/sequence.rs/0
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//! //! This module defines helpers to allow optional Rayon usage. //! use rayon::iter::IterBridge; use rayon::prelude::*; use rayon_cond::CondIterator; // Re-export rayon current_num_threads pub use rayon::current_num_threads; pub const ENV_VARIABLE: &str = "TOKENIZERS_PARALLELISM"; // Reading/Writing this variabl...
tokenizers/tokenizers/src/utils/parallelism.rs/0
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cff-version: "1.2.0" date-released: 2020-10 message: "If you use this software, please cite it using these metadata." title: "Transformers: State-of-the-Art Natural Language Processing" url: "https://github.com/huggingface/transformers" authors: - family-names: Wolf given-names: Thomas - family-names: Debut ...
transformers/CITATION.cff/0
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local base = import 'templates/base.libsonnet'; local tpus = import 'templates/tpus.libsonnet'; local utils = import "templates/utils.libsonnet"; local volumes = import "templates/volumes.libsonnet"; local bertBaseCased = base.BaseTest { frameworkPrefix: "hf", modelName: "bert-base-cased", mode: "example", con...
transformers/docker/transformers-pytorch-tpu/bert-base-cased.jsonnet/0
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<!--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/accelerate.md/0
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<!--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/deepspeed.md/0
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<!--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/internal/tokenization_utils.md/0
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<!--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
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<!--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
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<!--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/convnext.md/0
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<!--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/dialogpt.md/0
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<!--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/falcon.md/0
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<!--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
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<!--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/mluke.md/0
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<!--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/nllb-moe.md/0
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<!--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/phi.md/0
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<!--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/resnet.md/0
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<!--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/speech_to_text.md/0
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<!--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/wav2vec2-conformer.md/0
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<!--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/yolos.md/0
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<!--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_gpu_one.md/0
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<!--Copyright 2023 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
transformers/docs/source/en/tasks/asr.md/0
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<!--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/torchscript.md/0
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<!--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/es/custom_models.md/0
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<!--Copyright 2022 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
transformers/docs/source/es/run_scripts.md/0
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- sections: - local: index title: 🤗 Transformers - local: quicktour title: Visite rapide - local: installation title: Installation title: Démarrer - sections: - local: in_translation title: Pipelines pour l'inférence - local: autoclass_tutorial title: Chargement d'in...
transformers/docs/source/fr/_toctree.yml/0
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<!--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 to...
transformers/docs/source/it/converting_tensorflow_models.md/0
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<!--Copyright 2023 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
transformers/docs/source/ja/main_classes/model.md/0
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<!--Copyright 2023 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
transformers/docs/source/ja/model_doc/bark.md/0
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<!--Copyright 2023 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
transformers/docs/source/ja/model_doc/blip.md/0
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<!--Copyright 2020 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
transformers/docs/source/ja/model_doc/dialogpt.md/0
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<!--Copyright 2023 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
transformers/docs/source/ja/perf_train_gpu_many.md/0
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<!--Copyright 2023 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
transformers/docs/source/ja/tasks/asr.md/0
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<!--Copyright 2023 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
transformers/docs/source/ja/transformers_agents.md/0
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<!--Copyright 2023 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
transformers/docs/source/ko/custom_tools.md/0
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<!--Copyright 2022 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
transformers/docs/source/ko/pad_truncation.md/0
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<!--Copyright 2023 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
transformers/docs/source/ko/preprocessing.md/0
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<!--Copyright 2022 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
transformers/docs/source/pt/quicktour.md/0
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<!--Copyright 2023 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
transformers/docs/source/zh/chat_templating.md/0
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<!--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/zh/main_classes/output.md/0
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<!--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/zh/run_scripts.md/0
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#!/usr/bin/env python # coding=utf-8 # 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-...
transformers/examples/flax/image-captioning/run_image_captioning_flax.py/0
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#!/usr/bin/env python # coding=utf-8 # Copyright 2020 The HuggingFace Inc. team. # Copyright (c) 2018, NVIDIA CORPORATION. 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 a...
transformers/examples/legacy/benchmarking/run_benchmark.py/0
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#!/usr/bin/env python # coding=utf-8 # Copyright 2018 Google AI, Google Brain and Carnegie Mellon University Authors and the HuggingFace Inc. team. # Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in co...
transformers/examples/legacy/run_openai_gpt.py/0
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# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team. # Copyright (c) 2018, NVIDIA CORPORATION. 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 cop...
transformers/examples/legacy/token-classification/run_ner.py/0
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#!/usr/bin/env python # coding=utf-8 # Copyright 2021 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...
transformers/examples/pytorch/image-classification/run_image_classification.py/0
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<!--- 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/examples/pytorch/multiple-choice/README.md/0
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<!--- 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 ...
transformers/examples/pytorch/semantic-segmentation/README.md/0
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# coding=utf-8 # Copyright 2018 HuggingFace 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or a...
transformers/examples/pytorch/test_accelerate_examples.py/0
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#!/usr/bin/env python # coding=utf-8 # Copyright 2021 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...
transformers/examples/pytorch/token-classification/run_ner_no_trainer.py/0
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# Examples In this folder we showcase some examples to use code models for downstream tasks. ## Complexity prediction In this task we want to predict the complexity of Java programs in [CodeComplex](https://huggingface.co/datasets/codeparrot/codecomplex) dataset. Using Hugging Face `trainer`, we finetuned [multilingua...
transformers/examples/research_projects/codeparrot/examples/README.md/0
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import gym import numpy as np import torch from mujoco_py import GlfwContext from transformers import DecisionTransformerModel GlfwContext(offscreen=True) # Create a window to init GLFW. def get_action(model, states, actions, rewards, returns_to_go, timesteps): # we don't care about the past rewards in this m...
transformers/examples/research_projects/decision_transformer/run_decision_transformer.py/0
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# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team. # Copyright (c) 2018, NVIDIA CORPORATION. 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 cop...
transformers/examples/research_projects/distillation/run_squad_w_distillation.py/0
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from .model import FSNERModel from .tokenizer_utils import FSNERTokenizerUtils __all__ = ["FSNERModel", "FSNERTokenizerUtils"]
transformers/examples/research_projects/fsner/src/fsner/__init__.py/0
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command: - python3 - train.py method: random parameters: lr: values: [4e-5, 3e-5] warmup_steps: values: [20000, 15000, 10000, 5000] weight_decay: distribution: normal mu: 1e-2 sigma: 2e-3 metric: ...
transformers/examples/research_projects/jax-projects/big_bird/sweep_flax.yaml/0
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#!/usr/bin/env python # coding=utf-8 # 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-...
transformers/examples/research_projects/layoutlmv3/run_funsd_cord.py/0
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<!--- 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/examples/research_projects/mlm_wwm/README.md/0
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# coding=utf-8 # Copyright 2020-present, the HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by a...
transformers/examples/research_projects/movement-pruning/emmental/modules/masked_nn.py/0
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import logging import os from dataclasses import dataclass, field from functools import partial from pathlib import Path from tempfile import TemporaryDirectory from typing import List, Optional import faiss import torch from datasets import Features, Sequence, Value, load_dataset from transformers import DPRContextE...
transformers/examples/research_projects/rag-end2end-retriever/use_own_knowledge_dataset.py/0
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import argparse import logging import os import sys import tempfile from pathlib import Path import lightning_base import pytest import pytorch_lightning as pl import torch from convert_pl_checkpoint_to_hf import convert_pl_to_hf from distillation import distill_main from finetune import SummarizationModule, main from...
transformers/examples/research_projects/seq2seq-distillation/_test_seq2seq_examples.py/0
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#!/usr/bin/env bash python run_asr.py \ --output_dir="./wav2vec2-base-100h" \ --num_train_epochs="30" \ --per_device_train_batch_size="32" \ --per_device_eval_batch_size="32" \ --evaluation_strategy="steps" \ --save_total_limit="3" \ --save_steps="500" \ --eval_steps="100" \ --logging_steps="50" \ --learning_rate="5e-4...
transformers/examples/research_projects/wav2vec2/finetune_base_100.sh/0
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# Zero-shot classifier distillation Author: @joeddav This script provides a way to improve the speed and memory performance of a zero-shot classifier by training a more efficient student model from the zero-shot teacher's predictions over an unlabeled dataset. The zero-shot classification pipeline uses a model pre-...
transformers/examples/research_projects/zero-shot-distillation/README.md/0
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#!/usr/bin/env python # coding=utf-8 # Copyright 2023 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...
transformers/examples/tensorflow/language-modeling-tpu/prepare_tfrecord_shards.py/0
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[tool.ruff] # Never enforce `E501` (line length violations). ignore = ["C901", "E501", "E741", "F402", "F823" ] select = ["C", "E", "F", "I", "W"] line-length = 119 # Ignore import violations in all `__init__.py` files. [tool.ruff.per-file-ignores] "__init__.py" = ["E402", "F401", "F403", "F811"] "src/transformers/fil...
transformers/pyproject.toml/0
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# This file is adapted from the AllenNLP library at https://github.com/allenai/allennlp # Copyright 2020 The HuggingFace Team and the AllenNLP authors. 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 o...
transformers/src/transformers/benchmark/benchmark_utils.py/0
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# 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 applicabl...
transformers/src/transformers/convert_graph_to_onnx.py/0
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# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team. # Copyright (c) 2018, NVIDIA CORPORATION. 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 cop...
transformers/src/transformers/data/processors/utils.py/0
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# coding=utf-8 # Copyright 2021 The Google AI Flax Team Authors, and The HuggingFace Inc. team. # Copyright (c) 2020, NVIDIA CORPORATION. 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 o...
transformers/src/transformers/generation/flax_utils.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
transformers/src/transformers/integrations/aqlm.py/0
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#include <torch/extension.h> #include "ATen/ATen.h" typedef at::BFloat16 bf16; void cuda_forward(int B, int T, int C, float *w, float *u, float *k, float *v, float *y); void cuda_forward_bf16(int B, int T, int C, float *w, bf16 *u, bf16 *k, bf16 *v, bf16 *y); void cuda_forward_with_state(int B, int T, int C, float *w,...
transformers/src/transformers/kernels/rwkv/wkv_op.cpp/0
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# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team. # Copyright (c) 2018, NVIDIA CORPORATION. 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 cop...
transformers/src/transformers/modeling_tf_pytorch_utils.py/0
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# coding=utf-8 # Copyright 2018 The Google Flax Team Authors and The HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 ...
transformers/src/transformers/models/auto/modeling_flax_auto.py/0
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# coding=utf-8 # Copyright 2021 Microsoft Research and the HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless...
transformers/src/transformers/models/beit/modeling_flax_beit.py/0
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# coding=utf-8 # Copyright 2023 The Salesforce Team Authors and The HuggingFace Team. All rights reserved. # # Licensed under the BSD-3-clause license (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://opensource.org/licenses/BSD...
transformers/src/transformers/models/blip/modeling_tf_blip_text.py/0
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# coding=utf-8 # Copyright 2023 The Intel Labs Team Authors, The Microsoft Research Team Authors and 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 a...
transformers/src/transformers/models/bridgetower/modeling_bridgetower.py/0
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# coding=utf-8 # Copyright 2023 The LAION-AI 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 # # http://www.apache.org/licenses/LICENSE...
transformers/src/transformers/models/clap/modeling_clap.py/0
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# coding=utf-8 # Copyright 2022 The OpenAI Team Authors 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/L...
transformers/src/transformers/models/clipseg/modeling_clipseg.py/0
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