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import pytest def pytest_addoption(parser): parser.addoption("--runslow", action="store_true", default=False, help="run slow tests") def pytest_configure(config): config.addinivalue_line("markers", "slow: mark test as slow to run") def pytest_collection_modifyitems(config, items): if config.getoption(...
tokenizers/bindings/python/conftest.py/0
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from typing import Dict, Iterator, List, Optional, Tuple, Union from tokenizers import AddedToken, Tokenizer, decoders, pre_tokenizers, trainers from tokenizers.models import BPE from tokenizers.normalizers import NFKC from .base_tokenizer import BaseTokenizer class SentencePieceBPETokenizer(BaseTokenizer): """...
tokenizers/bindings/python/py_src/tokenizers/implementations/sentencepiece_bpe.py/0
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stable
tokenizers/bindings/python/rust-toolchain/0
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use pyo3::prelude::*; use std::collections::VecDeque; /// An simple iterator that can be instantiated with a specified length. /// We use this with iterators that don't have a size_hint but we might /// know its size. This is useful with progress bars for example. pub struct MaybeSizedIterator<I> { length: Option<...
tokenizers/bindings/python/src/utils/iterators.rs/0
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import pickle import numpy as np import pytest from tokenizers import AddedToken, Encoding, Tokenizer from tokenizers.implementations import BertWordPieceTokenizer from tokenizers.models import BPE, Model, Unigram from tokenizers.pre_tokenizers import ByteLevel, Metaspace from tokenizers.processors import RobertaProc...
tokenizers/bindings/python/tests/bindings/test_tokenizer.py/0
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- sections: - local: index title: 🤗 Tokenizers - local: quicktour title: Quicktour - local: installation title: Installation - local: pipeline title: The tokenization pipeline - local: components title: Components - local: training_from_memory title: Training from memory title: G...
tokenizers/docs/source-doc-builder/_toctree.yml/0
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# The tokenization pipeline When calling `Tokenizer.encode` or `Tokenizer.encode_batch`, the input text(s) go through the following pipeline: - `normalization` - `pre-tokenization` - `model` - `post-processing` We'll see in details what happens during each of those steps in detail, as well as when you want t...
tokenizers/docs/source-doc-builder/pipeline.mdx/0
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Documentation ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The Rust API Reference is available directly on the `Docs.rs <https://docs.rs/tokenizers>`__ website.
tokenizers/docs/source/api/rust.inc/0
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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
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use serde::{Deserialize, Serialize}; use crate::normalizers::NormalizerWrapper; use crate::tokenizer::{NormalizedString, Normalizer, Result}; use crate::utils::macro_rules_attribute; #[derive(Clone, Deserialize, Debug, Serialize)] #[serde(tag = "type")] /// Allows concatenating multiple other Normalizer as a Sequence...
tokenizers/tokenizers/src/normalizers/utils.rs/0
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use crate::processors::byte_level::process_offsets; use crate::tokenizer::{Encoding, PostProcessor, Result}; use serde::{Deserialize, Serialize}; use std::collections::HashMap; use std::iter::FromIterator; #[derive(Serialize, Deserialize, Debug, Clone, PartialEq, Eq)] #[serde(tag = "type")] pub struct RobertaProcessin...
tokenizers/tokenizers/src/processors/roberta.rs/0
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use crate::parallelism::*; use crate::tokenizer::{Encoding, Result}; use serde::{Deserialize, Serialize}; /// The various possible padding directions. #[derive(Debug, Clone, Copy, Serialize, Deserialize)] pub enum PaddingDirection { Left, Right, } impl std::convert::AsRef<str> for PaddingDirection { fn as...
tokenizers/tokenizers/src/utils/padding.rs/0
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[run] source=transformers omit = # skip convertion scripts from testing for now */convert_* */__main__.py [report] exclude_lines = pragma: no cover raise except register_parameter
transformers/.coveragerc/0
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FROM python:3.10-slim ENV PYTHONDONTWRITEBYTECODE=1 ARG REF=main USER root RUN apt-get update && apt-get install -y libsndfile1-dev espeak-ng time git cmake g++ 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/pipeline-tf.dockerfile/0
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FROM google/cloud-sdk:slim # Build args. ARG GITHUB_REF=refs/heads/main # TODO: This Dockerfile installs pytorch/xla 3.6 wheels. There are also 3.7 # wheels available; see below. ENV PYTHON_VERSION=3.6 RUN apt-get update && apt-get install -y --no-install-recommends \ build-essential \ cmake \ ...
transformers/docker/transformers-pytorch-tpu/Dockerfile/0
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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/main_classes/model.md/0
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transformers/docs/source/en/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/en/model_doc/blip.md/0
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# Cohere ## Overview The Cohere Command-R model was proposed in the blogpost [Command-R: Retrieval Augmented Generation at Production Scale](https://txt.cohere.com/command-r/) by the Cohere Team. The abstract from the paper is the following: *Command-R is a scalable generative model targeting RAG and Tool Use to en...
transformers/docs/source/en/model_doc/cohere.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/deit.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/electra.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/funnel.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/layoutlm.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/lxmert.md/0
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<!--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
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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/nat.md/0
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<!--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 http://www.apache.org/licenses/LICENSE-2.0 Unless required by applic...
transformers/docs/source/en/model_doc/qwen2.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/model_doc/stablelm.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/transfo-xl.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/vision-encoder-decoder.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/whisper.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_sharing.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 ...
transformers/docs/source/en/performance.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/image_to_image.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/accelerate.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/model_sharing.md/0
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transformers/docs/source/es/tasks/image_captioning.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/docs/source/fr/installation.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/it/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/it/pipeline_tutorial.md/0
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transformers/docs/source/ja/main_classes/output.md/0
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transformers/docs/source/ja/model_doc/bartpho.md/0
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<!--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 at http://www.apache...
transformers/docs/source/ja/model_doc/bridgetower.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/cpm.md/0
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transformers/docs/source/ja/model_sharing.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/idefics.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/ja/tasks/token_classification.md/0
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- sections: - local: index title: 🤗 Transformers - local: quicktour title: 둘러보기 - local: installation title: 설치방법 title: 시작하기 - sections: - local: pipeline_tutorial title: Pipeline으로 추론하기 - local: autoclass_tutorial title: AutoClass로 사전 학습된 인스턴스 로드하기 - local: preprocessing title: ...
transformers/docs/source/ko/_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...
transformers/docs/source/ko/fast_tokenizers.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 ...
transformers/docs/source/ko/pr_checks.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/tasks/image_captioning.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/tasks/token_classification.md/0
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- sections: - local: index title: 🤗 Transformers - local: quicktour title: Lawatan cepat - local: installation title: Pemasangan title: Mulakan - sections: - local: pipeline_tutorial title: Jalankan inferens dengan saluran paip - local: autoclass_tutorial title: Tuli...
transformers/docs/source/ms/_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...
transformers/docs/source/zh/custom_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/zh/llm_tutorial.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/main_classes/quantization.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 a...
transformers/examples/flax/README.md/0
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#!/usr/bin/env python # coding=utf-8 # 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-...
transformers/examples/flax/vision/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 applicabl...
transformers/examples/legacy/seq2seq/old_test_calculate_rouge.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/examples/legacy/seq2seq/seq2seq_trainer.py/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/contrastive-image-text/README.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 ...
transformers/examples/pytorch/language-modeling/README.md/0
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#!/usr/bin/env python # 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/LI...
transformers/examples/pytorch/object-detection/run_object_detection.py/0
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# coding=utf-8 # Copyright 2022 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...
transformers/examples/pytorch/semantic-segmentation/run_semantic_segmentation_no_trainer.py/0
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# Text Summarization with Pretrained Encoders This folder contains part of the code necessary to reproduce the results on abstractive summarization from the article [Text Summarization with Pretrained Encoders](https://arxiv.org/pdf/1908.08345.pdf) by [Yang Liu](https://nlp-yang.github.io/) and [Mirella Lapata](https:...
transformers/examples/research_projects/bertabs/README.md/0
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# coding=utf-8 # Copyright 2019-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/distillation/scripts/extract_distilbert.py/0
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# Information Gain Filtration(IGF) Authors @Tuko @mraunak This folder contains the code how to implement IGF for finetuning on GPT-2. ## What is IGF? Here we present a general fine-tuning method that we call information gain filtration for improving the overall training efficiency and final performance of language...
transformers/examples/research_projects/information-gain-filtration/README.md/0
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#!/usr/bin/env python # coding=utf-8 # 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-...
transformers/examples/research_projects/jax-projects/dataset-streaming/run_mlm_flax_stream.py/0
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import functools import math import os # noqa: F401 from random import choice, randint from time import time import datasets # noqa: F401 import faiss # noqa: F401 import numpy as np import pandas as pd import torch import torch.utils.checkpoint as checkpoint from elasticsearch import Elasticsearch # noqa: F401 fr...
transformers/examples/research_projects/longform-qa/eli5_utils.py/0
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# coding=utf-8 # 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 require...
transformers/examples/research_projects/mlm_wwm/run_mlm_wwm.py/0
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# Sample script to finetune RAG using Ray for distributed retrieval. # Add parent directory to python path to access lightning_base.py export PYTHONPATH="../":"${PYTHONPATH}" #creates the custom knowlegebase python use_own_knowledge_dataset.py \ --csv_path /DIR/SQUAD-KB/squad-kb.csv \ --output_dir /DIR/SQUA...
transformers/examples/research_projects/rag-end2end-retriever/finetune_rag_ray_end2end.sh/0
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#!/usr/bin/env python import os from pathlib import Path from typing import Dict, List import fire import torch from transformers import AutoModelForSeq2SeqLM, AutoTokenizer from transformers.utils.logging import get_logger logger = get_logger(__name__) def remove_prefix(text: str, prefix: str): if text.star...
transformers/examples/research_projects/seq2seq-distillation/convert_pl_checkpoint_to_hf.py/0
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#!/usr/bin/env bash export PYTHONPATH="../":"${PYTHONPATH}" export BS=32 export GAS=1 python finetune.py \ --learning_rate=3e-5 \ --fp16 \ --gpus 1 \ --do_train \ --do_predict \ --val_check_interval 0.25 \ --n_val 500 \ --num_train_epochs 2 \ --freeze_encoder --freeze_embeds --data...
transformers/examples/research_projects/seq2seq-distillation/train_distilbart_cnn.sh/0
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#!/usr/bin/env bash python run_asr.py \ --output_dir="./wav2vec2-base-timit-asr" \ --num_train_epochs="30" \ --per_device_train_batch_size="20" \ --per_device_eval_batch_size="20" \ --eval_strategy="steps" \ --save_steps="500" \ --eval_steps="100" \ --logging_steps="50" \ --learning_rate="5e-4" \ --warmup_steps="3000" ...
transformers/examples/research_projects/wav2vec2/finetune_base_timit_asr.sh/0
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import logging import os import sys from dataclasses import dataclass, field from typing import List, Optional import torch from datasets import Dataset from torch import nn from tqdm.auto import tqdm from transformers import ( AutoModelForSequenceClassification, AutoTokenizer, HfArgumentParser, Train...
transformers/examples/research_projects/zero-shot-distillation/distill_classifier.py/0
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#!/usr/bin/env bash # 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 r...
transformers/scripts/fsmt/convert-allenai-wmt16.sh/0
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#!/bin/bash for FILE in converted/*; do model_name=`basename $FILE` huggingface-cli repo create $model_name -y git clone https://huggingface.co/Helsinki-NLP/$model_name mv $FILE/* $model_name/ cd $model_name git add . && git commit -m "initial commit" git push cd .. done
transformers/scripts/tatoeba/upload_models.sh/0
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#!/usr/bin/env python # 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/L...
transformers/src/transformers/agents/speech_to_text.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/commands/download.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/data/data_collator.py/0
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# coding=utf-8 # Copyright 2021 The HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
transformers/src/transformers/dynamic_module_utils.py/0
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# coding=utf-8 # Copyright 2020 The Google AI Language Team Authors, Facebook AI Research 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 L...
transformers/src/transformers/generation/utils.py/0
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# coding=utf-8 # Copyright 2024 The ggml.ai team and The HuggingFace Inc. team. and pygguf author (github.com/99991) # https://github.com/99991/pygguf # # 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 Lic...
transformers/src/transformers/integrations/ggml.py/0
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#define MAX_THREADS_PER_BLOCK 1024 #define OPTIMAL_THREADS_PER_BLOCK 256 #define WARP_SIZE 32 #define MAX_NUM_BLOCK_X 2147483647 #define MAX_NUM_BLOCK_Y 65535 #define MAX_NUM_BLOCK_Z 65535 #define MAX_SHARED_MEM_PER_BLOCK 48000 #define FULL_MASK 0xffffffff
transformers/src/transformers/kernels/yoso/common_cuda.h/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/modeling_tf_outputs.py/0
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# coding=utf-8 # Copyright 2023 The Google Research 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/l...
transformers/src/transformers/models/align/modeling_align.py/0
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# coding=utf-8 # Copyright 2018 The HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
transformers/src/transformers/models/auto/modeling_auto.py/0
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# coding=utf-8 # Copyright 2020 The HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
transformers/src/transformers/models/bart/convert_bart_original_pytorch_checkpoint_to_pytorch.py/0
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# coding=utf-8 # Copyright 2021 Google Research 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-...
transformers/src/transformers/models/bigbird_pegasus/modeling_bigbird_pegasus.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 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/licens...
transformers/src/transformers/models/blip/modeling_tf_blip.py/0
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# coding=utf-8 # Copyright 2021 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/clip/modeling_tf_clip.py/0
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# coding=utf-8 # Copyright 2022 Meta Platforms Inc. 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/...
transformers/src/transformers/models/convnext/modeling_tf_convnext.py/0
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# coding=utf-8 # Copyright 2018 Salesforce and 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 at # # h...
transformers/src/transformers/models/ctrl/modeling_tf_ctrl.py/0
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# coding=utf-8 # Copyright 2021 The HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
transformers/src/transformers/models/data2vec/convert_data2vec_audio_original_pytorch_checkpoint_to_pytorch.py/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 applicabl...
transformers/src/transformers/models/deit/__init__.py/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 applicabl...
transformers/src/transformers/models/deprecated/efficientformer/__init__.py/0
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